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Paper Citation Record · LEDGER

LLM$\times$MapReduce: Simplified Long-Sequence Processing using Large Language Models

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.09342.

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

pith.paper-citation-record.v1
2410.09342 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-25T04:36:22.084650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T04:36:36.600162Z

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 dfd50428-6ded-43d2-b8d9-2025b1001f23 · inbound

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

Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention LLM$\times$MapReduce: Simplified Long-Sequence Processing using Large Language Models

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:46:30.083580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=arxiv_source observed=2026-05-16T23:46:29.975858Z digest=sha256:e086b8a4daf3ee6381b3ca01dbd7a5a180ca67f351dfca442a368063ed92d9de

Observation 3bf80704-82dc-40ef-8d85-8e6f55272ffd · inbound

CacheClip: Accelerating RAG with Effective KV Cache Reuse cites this paper.

CacheClip: Accelerating RAG with Effective KV Cache Reuse LLM$\times$MapReduce: Simplified Long-Sequence Processing using Large Language Models

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T12:41:33.710830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-22T12:36:41.630618Z digest=sha256:56c5bb67d646970a68deb716e2cef589c28a8cd59f965d616456c84c455776dd

Observation eec95493-a1b3-44c6-9be8-72bebfb140d0 · inbound

Parallel Context Compaction for Long-Horizon LLM Agent Serving cites this paper.

Parallel Context Compaction for Long-Horizon LLM Agent Serving LLM$\times$MapReduce: Simplified Long-Sequence Processing using Large Language Models

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:36:36.603208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T04:36:22.084650Z digest=sha256:59c8cc58881a81c62458dc92181febd08ceb4a26d32e0d487a877cd68aff1dce