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Paper Citation Record · LEDGER

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators

As of 11 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 4 inbound Pith citation observations for arXiv:2511.03092.

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

pith.paper-citation-record.v1
2511.03092 v6

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-18T01:59:30.583027Z

measured 34 of 34 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-19T16:41:30.021302Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T16:42:39.697093Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact9
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch20

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99981bc5-d0a4-49de-a7c1-f551b1b376a8 · outbound

This paper cites SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.372114Z

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=2026-05-18T01:59:30.583027Z digest=sha256:068832b7a1ed243ec84a4bd96132738c9833bfe072e66356b5fd8f91308e6800

Observation d52dde91-7d46-4ab9-9939-5fd516255bac · outbound

This paper cites GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.419974Z

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=2026-05-18T01:59:30.583027Z digest=sha256:3e8492437e8127d36c00e44b85a4526081fb7aa6917e788b77584554c6aa7a23

Observation 65fa7184-6bdb-4b0e-b740-c716fab62ecf · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 3

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.367043Z

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=2026-05-18T01:59:30.583027Z digest=sha256:c78146282dcfdfed4526977ccdba3cf9fe1bd9abae78f22d4f21a933040aef1c

Observation 8059ce83-f165-464a-a6e8-afa35de30d8a · outbound

This paper cites Titans: Learning to Memorize at Test Time.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Titans: Learning to Memorize at Test Time

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.426911Z

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=2026-05-18T01:59:30.583027Z digest=sha256:db862e494b58ea8bebf267436c2ff64b8d01a43a52b3cbf3269460f6010923f9

Observation 6f074476-8bfb-4f69-a980-94e902b0d96c · outbound

This paper cites Longformer: The Long-Document Transformer.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Longformer: The Long-Document Transformer

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.362089Z

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=2026-05-18T01:59:30.583027Z digest=sha256:d3e67ba9faad7faae0ed562cb2b0159daa47dbbad9ea7cc8a53fab983af18504

Observation eaeb9162-6276-4cb3-83bc-47e6f87bd4d4 · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Generating Long Sequences with Sparse Transformers

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.317879Z

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=2026-05-18T01:59:30.583027Z digest=sha256:3fcda268f0637c8624bff980aabfc7c65291393a2d977f0c833030b15ab6e115

Observation be0f46fd-d8bc-4789-910d-e1efccc5c45f · outbound

This paper cites FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.344554Z

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=2026-05-18T01:59:30.583027Z digest=sha256:444996658a1d2203a4a0a0a851b23c435b28b6a4e54c9a4459e75ae7fc59753c

Observation 7ec75e2a-6e6f-4574-9ee9-7cb701263abb · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 8

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.357328Z

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=2026-05-18T01:59:30.583027Z digest=sha256:312750b94cd5c265ce840b12f9233ce213ec4008fe85986e6e3d2aa5e4d18dc6

Observation 9e6914be-a189-47f1-abbe-1c3ef59c6370 · outbound

This paper cites Cartridges: Lightweight and general-purpose long context representations via self-study.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Cartridges: Lightweight and general-purpose long context representations via self-study

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T02:00:39.432146Z

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=2026-05-18T01:59:30.583027Z digest=sha256:6723d4b1f893f291426b93bb8185545eea652b5190f92377889641a02374db50

Observation 2ce07502-b386-4659-abfc-e70360970fe4 · outbound

This paper cites The Llama 3 Herd of Models.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators The Llama 3 Herd of Models

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.340093Z

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=2026-05-18T01:59:30.583027Z digest=sha256:e90ee94a9dfab723bebc5294a7ecce03beb2d9447996fbfe11b30db80a1f9adf

Observation 4ad8e13b-fbb1-4987-90f5-f33cad7e6545 · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.322244Z

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=2026-05-18T01:59:30.583027Z digest=sha256:9d62f6ec6c22fc9308e5d9d1d1e56a9de9676a6073c83a4a58bd203c63fde88b

Observation 368adab0-7116-4192-880e-f38329d7758e · outbound

This paper cites Kimi K2: Open Agentic Intelligence.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Kimi K2: Open Agentic Intelligence

Reference 12

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.313481Z

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=2026-05-18T01:59:30.583027Z digest=sha256:7480c68665b296bc0cc29e04df5a6c7dae5a5b8492b4fb64bb144ac571f9d7cd

Observation 17671d48-a744-4796-a3d8-e32581783177 · outbound

This paper cites Reformer: The Efficient Transformer.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Reformer: The Efficient Transformer

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.348262Z

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=2026-05-18T01:59:30.583027Z digest=sha256:f6846252edc61116b4dd05ad92190ac8eb3dd45de30a1d03b25e4d31f6a97cae

Observation f76bc791-9b01-41e9-a8b3-5726bb1c4118 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.352517Z

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=2026-05-18T01:59:30.583027Z digest=sha256:72a8b0180872919774cbe38b263f45064c298b1732968fb0bceec4a8a48b10a1

Observation 433183e5-5817-468f-a0d6-d6e3d241614c · outbound

This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators SnapKV: LLM Knows What You are Looking for Before Generation

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.335562Z

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=2026-05-18T01:59:30.583027Z digest=sha256:a95125a4cff17abf8d3591f617b830cb1cb8c0073255e4fac14187b1088b4d5b

Observation cf40428b-2d64-406e-8887-ca66295ecf4c · outbound

This paper cites Choquette.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Choquette

Reference 16

Resolution
malformed identifier
doi_truncated, observed 2026-05-18T02:00:38.288794Z

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=2026-05-18T01:59:30.583027Z digest=sha256:e039c48fb0f48837acbb88c1092cbcb747aac043a8dfe89b1ac1e1a19cbead1b

Observation 4c354e2d-1044-45a5-9da8-613e0b707664 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators gpt-oss-120b & gpt-oss-20b Model Card

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.303801Z

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=2026-05-18T01:59:30.583027Z digest=sha256:537fed4a609c260a986e8674f3ee1ae972763d66a9ebd19b8d3451dca3d3ebb4

Observation 6b7ab900-8ee3-4313-bfcd-d1420eb90ad0 · outbound

This paper cites doi: 10.1109/HCS61935.2024.10664717.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators doi: 10.1109/HCS61935.2024.10664717

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T02:00:38.284771Z

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=2026-05-18T01:59:30.583027Z digest=sha256:f7d37f771e7e7b00e55daa16f697135b0df6375d37dcc02dd082dfa8fded6b00

Observation 1a225cb9-ab8e-4e76-b080-baf954915d29 · outbound

This paper cites Tacos: Topology-aware collective algorithm synthesizer for distributed machine learning.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Tacos: Topology-aware collective algorithm synthesizer for distributed machine learning

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T02:00:38.293875Z

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=2026-05-18T01:59:30.583027Z digest=sha256:6996498c6b9dda454806a53025609418dc28dd03eedef2680ac710d5586a382b

Observation e09c8e9c-8d95-48f7-ae73-7bea46641f32 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Gemma 2: Improving Open Language Models at a Practical Size

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.330829Z

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=2026-05-18T01:59:30.583027Z digest=sha256:3f00b752ff00e6414350e4b1938d5e79c9406b57352ea2228d1e909a887b47a1

Observation 670d5b0e-c687-4816-846f-635f0eb31712 · outbound

This paper cites Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.384869Z

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=2026-05-18T01:59:30.583027Z digest=sha256:138888c240c0755a8fcd4252f23bf7d145729dc4b2deac323d63c372be738418

Observation 0a7c5652-c170-428a-b664-b3fd6c392469 · outbound

This paper cites Attention Is All You Need.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Attention Is All You Need

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.414791Z

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=2026-05-18T01:59:30.583027Z digest=sha256:3ec42688a89445a6503026ad0d548f0a0e71a7a875a93d00d75ce5dcd79709bf

Observation 04bf6933-e0ac-46ce-b63b-f50462c50b30 · outbound

This paper cites LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:00:39.392292Z

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=2026-05-18T01:59:30.583027Z digest=sha256:290d3c337f73d410c28b90a11bf98cac1e8ab17b0b63761f6afc047724a5da17

Observation d937a816-845c-44f6-91b9-81f4d3b09708 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.403509Z

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=2026-05-18T01:59:30.583027Z digest=sha256:f3efb89ee7213dad85d5ee3a3213edcdd72d40d178bcccdeb789a1b3665b919c

Observation 42a42cee-404a-4b8d-8863-7a5cea8b9f22 · outbound

This paper cites Qwen3 Technical Report.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Qwen3 Technical Report

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-18T02:00:39.326713Z

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=2026-05-18T01:59:30.583027Z digest=sha256:0f89253a696d9c587c1b1744db23269ba2a99dd128b098693aa60c352b43a403

Observation 340b09c5-e6e5-4fd1-9917-a726acd440ff · outbound

This paper cites Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.378002Z

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=2026-05-18T01:59:30.583027Z digest=sha256:929dc82126701d8e53dc90ea5ee617f38cb740560f34119fd78b50ae6670a445

Observation eedf346a-1ea6-457e-9850-f9559659ba58 · outbound

This paper cites Spargeattn: Accurate sparse attention accelerating any model inference.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators Spargeattn: Accurate sparse attention accelerating any model inference

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T02:00:39.410021Z

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=2026-05-18T01:59:30.583027Z digest=sha256:2bc012e174447dece2aa6fc1306d1903ac43ceaeb2ae89adaf28de4e0e5f1c7c

Observation 0b58d72a-6099-4f09-991f-47c904079b56 · outbound

This paper cites $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators $\infty$Bench: Extending Long Context Evaluation Beyond 100K Tokens

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T02:00:39.299754Z

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=2026-05-18T01:59:30.583027Z digest=sha256:ca720a8781e81574becb37503c46820d1b2d44bf15cf6e4d7d2afbc0dad1f0b9

Observation 460379ee-66f2-47ce-81a0-e9e4a38deb76 · outbound

This paper cites H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

Reference 29

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.309134Z

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=2026-05-18T01:59:30.583027Z digest=sha256:4a88756b2fc84d2e127b0f582d860b0471b9436485d3efc26b67f48472cf2125

Observation a713be5b-4cec-48fd-b760-e990a3df4b86 · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators SGLang: Efficient Execution of Structured Language Model Programs

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T02:00:39.397829Z

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=2026-05-18T01:59:30.583027Z digest=sha256:397c7064dfad9085ce6617ba35b179a09a04679ea3e4616a5ebc71d066ddcd72

Pith citing papers

Observation e829cb08-ae8e-4dbd-b782-834e68d6103a · inbound

KV Cache Offloading for Context-Intensive Tasks cites this paper.

KV Cache Offloading for Context-Intensive Tasks SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-11T08:06:01.095894Z

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=2026-05-10T16:49:13.353700Z digest=sha256:c080fa797662c8990eba1ee5f56e653b581bfef0cb96f0d1836d43b292698eed

Observation 93f452a5-a4c8-499b-95c8-86e6ac9d5f5f · inbound

KV Cache Offloading for Context-Intensive Tasks cites this paper.

KV Cache Offloading for Context-Intensive Tasks SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:20:56.323193Z

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=2026-05-11T01:48:21.341462Z digest=sha256:73f2981985b420175890934907a6768a85f7ab020cd34971100999baac4320d6

Observation 4c854c8c-7cdc-44e2-b359-5affd33eaa5c · inbound

KV Cache Offloading for Context-Intensive Tasks cites this paper.

KV Cache Offloading for Context-Intensive Tasks SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-05-13T07:37:29.371449Z

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=2026-05-13T07:35:30.155592Z digest=sha256:e4bc950e09b500ded6d4b12eabfd876734f109efc0e6bca229ee57ba545a6d5b

Observation fc5f6aa2-7d31-433c-a715-078373a41401 · inbound

KV Cache Offloading for Context-Intensive Tasks cites this paper.

KV Cache Offloading for Context-Intensive Tasks SnapStream: Efficient Long Sequence Decoding on Dataflow Accelerators

Reference 25

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local_arxiv, observed 2026-05-19T16:42:39.698754Z

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=2026-05-19T16:41:30.021302Z digest=sha256:268fdf91fb21d6df418451e09da4f6e97cba314c077369f9d9305d42457d1015