Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.06079.

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

pith.paper-citation-record.v1
2507.06079 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:16:26.511282Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact3
verified fuzzy7
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46d55d73-b50c-4c9d-a79b-869f0028e9b0 · outbound

This paper cites write newline.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models write newline

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:28.345127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

This paper cites Q-S5: Towards Quantized State Space Models.

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 2026-08-07T06:34:17.273281+00:00.

Observation 9372d813-8ef3-4a43-be9e-057c747a50e7 · outbound

This paper cites B., Aydin, G., Puthankattil, S.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models B., Aydin, G., Puthankattil, S

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:28.335987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13ddd956-6dcf-447e-8e85-7a01e239f997 · outbound

This paper cites H., Marcus, G.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models H., Marcus, G

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:28.326301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c79af251-f35f-4e83-a02e-c9f93f833abe · outbound

This paper cites Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Hardware Aware Training for Efficient Keyword Spotting on General Purpose and Specialized Hardware

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:16:27.265143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ca3433c9-a59a-4642-b29e-f35d7356264e · outbound

This paper cites M., Lee, S.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models M., Lee, S

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:28.316542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a2ae952-0c62-4fbf-8c97-ef6486a77be3 · outbound

This paper cites Quamba: A Post-Training Quantization Recipe for Selective State Space Models.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Quamba: A Post-Training Quantization Recipe for Selective State Space Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:24.272098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4acb84a1-6344-4b68-a2a6-1b4a688c53c1 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.307074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 94272b82-81c5-4e51-8922-4b7c909b8a6d · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:24.448670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6de9d942-b1e4-468b-a910-857fe3e0c800 · outbound

This paper cites H., Dimou, G., Joshi, P., Imam, N., Jain, S., et al.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models H., Dimou, G., Joshi, P., Imam, N., Jain, S., et al

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:28.297688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 579e9339-dfc0-4970-9e01-ab480e20efe8 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.287927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dbed62b9-5154-4ae9-ad10-60a24bafb31b · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:24.710680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65a9c4a5-381f-42f4-9d3a-46d06778c159 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.279059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 111f40bb-8086-485f-a021-a5c730b8a4ec · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.269840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 66d2a31a-ab5e-41d7-be77-298e53984362 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Efficiently Modeling Long Sequences with Structured State Spaces

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:24.947388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4926aa8e-9bf8-4ca7-8267-7d332fcbfd78 · outbound

This paper cites Scaling Laws for Precision.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Scaling Laws for Precision

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:25.036428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6a4d0c9-2db5-4884-86bd-156b8c8495be · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.259617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ef31ab3-d958-4cce-b0bb-8418c5a03bcb · outbound

This paper cites The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:25.228170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf2c6023-1db0-4252-87cd-8185c412f824 · outbound

This paper cites A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models A Diagonal Structured State Space Model on Loihi 2 for Efficient Streaming Sequence Processing

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:25.301714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf1d9333-1a8e-4942-9198-da165280bbf8 · outbound

This paper cites Recurrent Neural Networks With Limited Numerical Precision.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Recurrent Neural Networks With Limited Numerical Precision

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:25.383397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 123bc5dc-dd3d-44d0-a29b-fd68aab2f3ee · outbound

This paper cites Z., Ibanez-Guzman, J., Li, G., Piazzoni, A., Wang, P., & Santra, A.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Z., Ibanez-Guzman, J., Li, G., Piazzoni, A., Wang, P., & Santra, A

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:28.249657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82c40f87-645f-4901-ad33-ba6622f46ac6 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.238518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 35b9e244-1e05-417f-a35e-c524e49c2586 · outbound

This paper cites Simplified State Space Layers for Sequence Modeling.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Simplified State Space Layers for Sequence Modeling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:25.630867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52cdb9d6-b161-482b-9c87-507750decd56 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:25.704385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fc9353c-a1ab-4e13-b789-a7faebe847db · outbound

This paper cites Long Range Arena: A Benchmark for Efficient Transformers.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Long Range Arena: A Benchmark for Efficient Transformers

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T19:16:25.783651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fba16d8-9a96-4872-ae22-be12c0bbf656 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.227017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bde711dd-3f72-40eb-91ed-d00d790135e4 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.215688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15d7bb09-0970-4d86-a37d-7e9c348c187f · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.204641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76be6338-563d-4623-8ee3-68f3f6c85507 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.194518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5700d688-a081-4c10-ae27-f368d5ba72e6 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.182153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a706b0c-7acb-4a55-8c9c-d5ab3ff0dc04 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:28.057064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c18a1f45-7da1-4879-be82-52cc47ef336f · outbound

This paper cites P., & Neftci, E.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models P., & Neftci, E

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:16:27.831270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7a65636b-84b3-4489-996a-d615570e2185 · outbound

This paper cites an unresolved cited work.

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-06T19:16:27.620634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6008856d-fae7-4f17-bea6-b8f967ccbfdd · outbound

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

QS4D: Quantization-aware training for efficient hardware deployment of structured state-space sequential models Quantizing Small-Scale State-Space Models for Edge AI

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:16:26.890021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.