Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:12:58.909939Z

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 4ea6e2ad-f1b1-4fb5-9d0d-ef200366c7d6 · inbound

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information cites this paper.

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information LLM$\times$MapReduce: Simplified Long-Sequence Processing using Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T13:25:52.163737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-18T06:34:40.430872+00:00.

Observation 48f3ac94-d8f0-4e05-b061-028589427d13 · inbound

Overflow Prevention Enhances Long-Context Recurrent LLMs cites this paper.

Overflow Prevention Enhances Long-Context Recurrent LLMs LLM$\times$MapReduce: Simplified Long-Sequence Processing using Large Language Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T22:12:58.909939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24017d1c-6b92-40f5-aeb5-d672ee523380 · inbound

Can LLMs Replace Humans During Code Chunking? cites this paper.

Can LLMs Replace Humans During Code Chunking? LLM$\times$MapReduce: Simplified Long-Sequence Processing using Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:10:14.487065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-18T06:34:40.430872+00:00.

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 2026-08-18T06:34:40.430872+00:00.