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Paper Citation Record · LEDGER

Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.01814.

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

pith.paper-citation-record.v1
2405.01814 v2

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 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:26:32.785243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T12:15:06.767108Z

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 d42c4ab1-d012-438b-b604-2a493f39504a · inbound

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval cites this paper.

RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:12:01.961981Z

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=arxiv_source observed=2026-05-18T08:12:01.798459Z digest=sha256:bfcda0382190ea4aadc3e2927793f24b1ead83e0ac97dba20a41cc9e6390d4b7

Observation c4025026-7c79-4b2c-bc62-90ab2d1e4eee · inbound

Beyond the Buzz: A Pragmatic Take on Inference Disaggregation cites this paper.

Beyond the Buzz: A Pragmatic Take on Inference Disaggregation Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T10:26:32.785243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:26:32.785243Z digest=sha256:09557ccd3a70ca912fb70f589aeebf265040f23288217d4de337837f10fc78c2

Observation fe4dde01-8498-4d92-89fc-a8761eccccde · inbound

Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations cites this paper.

Quantifying the Energy Consumption and Carbon Emissions of LLM Inference via Simulations Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T17:14:19.296178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:14:19.296178Z digest=sha256:8c2a3029d8a4088f2cb5e5acd46d3f3caac205b26ac67813f20fbf2aa218c88f

Observation 24531cf4-1b9d-4f39-bcf7-f6e13295b3bb · inbound

Janus: Disaggregating Attention and Experts for Scalable MoE Inference cites this paper.

Janus: Disaggregating Attention and Experts for Scalable MoE Inference Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:11:18.537237Z

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=2026-05-16T22:09:57.497936Z digest=sha256:8a6a303cd0c6e91e3b9bfdc29aecc15ed287f9613a6a903a237d18e672bb13a6

Observation c8b6a656-73d6-41b5-9707-e7a804578f9c · inbound

PrefixWall: Mitigating Prefix Caching Side Channels in Shared LLM Systems cites this paper.

PrefixWall: Mitigating Prefix Caching Side Channels in Shared LLM Systems Efficient Heterogeneous Large Language Model Decoding with Model-Attention Disaggregation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-21T12:15:06.769022Z

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=2026-05-21T12:14:09.509302Z digest=sha256:a488cf6e291ebbb8fa42359f0a9c01f2e2a4471ca455ed345b971a27736d5016