Pith. sign in

Paper Citation Record · LEDGER

DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.00888.

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

pith.paper-citation-record.v1
2405.00888 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:47:40.297907Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:47:40.552384Z

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 a1d181fb-6ecc-49a4-bd12-e3e78ccd9066 · inbound

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models cites this paper.

DeepSeek: Paradigm Shifts and Technical Evolution in Large AI Models DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling

Reference 114

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:47:40.557338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T17:47:40.297907Z digest=sha256:abb06e51ed6d10d3c10f6a7894749cf7cc989844d2745aca65418a5df8b6178a

Observation 5b326dfd-d398-422e-97d7-3359296607fb · inbound

Valinor: Architectural Support for Fast, Energy-Efficient and Programmable Physical Memory Allocation cites this paper.

Valinor: Architectural Support for Fast, Energy-Efficient and Programmable Physical Memory Allocation DynaMo: Accelerating Language Model Inference with Dynamic Multi-Token Sampling

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-02T01:06:54.418189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T01:06:54.418189Z digest=sha256:0c25d56d835202e4b9a135965e55f71ef24635fce3c92e41d64b3b834b8ee694