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Paper Citation Record · LEDGER

Q-S5: Towards Quantized State Space Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.09477.

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

pith.paper-citation-record.v1
2406.09477 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:59:50.551524Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:16:27.345176Z

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 70d1dad7-910d-4107-85ab-471266a7225b · inbound

Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2 cites this paper.

Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2 Q-S5: Towards Quantized State Space Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T10:59:50.551524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T10:59:50.551524Z digest=sha256:8f0b3ad0fffed04bd2bcca60fff0a0ef3c6778efde875179250b99e6e17ad178

Observation 3273b9df-f2de-4f93-af79-1723fac99cd5 · inbound

Quantizing Small-Scale State-Space Models for Edge AI cites this paper.

Quantizing Small-Scale State-Space Models for Edge AI Q-S5: Towards Quantized State Space Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T00:54:51.771442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:54:51.771442Z digest=sha256:ce3a8b213dfb63fe83f46fee6a666d93ab148caf3f9814985c4cc034cdc2607f

Observation a1a11dd5-5464-408b-8850-0724db2b3262 · inbound

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models cites this paper.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Q-S5: Towards Quantized State Space Models

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:16:27.415121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T19:16:23.763890Z digest=sha256:cc0f349998f9379fec6a03be3dbb75916e3564c3b4fc4c8c2b129121445823c3