Paper Citation Record · LEDGER

Controllable Latent Space Augmentation for Digital Pathology

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2508.14588.

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

pith.paper-citation-record.v1
2508.14588 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:27:21.521223Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy23
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5a50a0ae-5e8a-4c59-a534-508ecfd95fce · outbound

This paper cites Cpu db: Recording microprocessor history: With this open database, you can mine microprocessor trends over the past 40 years.

Controllable Latent Space Augmentation for Digital Pathology Cpu db: Recording microprocessor history: With this open database, you can mine microprocessor trends over the past 40 years

Reference 1

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:27:22.314917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation adf0fc07-965c-4db7-a371-1e58946813eb · outbound

This paper cites A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms.

Controllable Latent Space Augmentation for Digital Pathology A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T18:27:19.113020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25448b02-e919-45f0-a267-68600527e093 · outbound

This paper cites X-centric: A survey on compute-, memory- and application-centric computer architectures,.

Controllable Latent Space Augmentation for Digital Pathology X-centric: A survey on compute-, memory- and application-centric computer architectures,

Reference 3

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:27:22.250613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d124973d-5c5f-4575-929f-4694651cdcd4 · outbound

This paper cites Agile soc development with open esp,.

Controllable Latent Space Augmentation for Digital Pathology Agile soc development with open esp,

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:27:22.177081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 83cb624a-0288-4862-93e8-6bfb9997e3dc · outbound

This paper cites X-heep: An open-source, configurable and extendible risc-v microcontroller.

Controllable Latent Space Augmentation for Digital Pathology X-heep: An open-source, configurable and extendible risc-v microcontroller

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.575950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f4904473-0a69-41e7-b721-2fbca1bb4790 · outbound

This paper cites Gemmini: Enabling systematic deep-learning architecture evaluation via full-stack integration,.

Controllable Latent Space Augmentation for Digital Pathology Gemmini: Enabling systematic deep-learning architecture evaluation via full-stack integration,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T18:27:19.378560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a437e04-3c86-46c9-8701-4e227d127a57 · outbound

This paper cites Aha: An agile approach to the design of coarse-grained reconfigurable accelerators and compilers,.

Controllable Latent Space Augmentation for Digital Pathology Aha: An agile approach to the design of coarse-grained reconfigurable accelerators and compilers,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T18:27:19.416628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5747bb55-7205-489f-acf0-d71b5e2a2369 · outbound

This paper cites Dory: Automatic end-to-end deployment of real-world dnns on low-cost iot mcus,.

Controllable Latent Space Augmentation for Digital Pathology Dory: Automatic end-to-end deployment of real-world dnns on low-cost iot mcus,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.556751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 18b129e0-2497-43cb-98f6-3b5059129c1e · outbound

This paper cites An analysis of accelerator coupling in heterogeneous architectures,.

Controllable Latent Space Augmentation for Digital Pathology An analysis of accelerator coupling in heterogeneous architectures,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.545449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d1a2a61-4589-4ccf-9e98-7848bea44b09 · outbound

This paper cites Efficient interaction between os and architecture in heterogeneous platforms,.

Controllable Latent Space Augmentation for Digital Pathology Efficient interaction between os and architecture in heterogeneous platforms,

Reference 10

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:27:21.954241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d55c8f18-2f56-40be-b743-3745fd62685a · outbound

This paper cites Xpulpnn: Accelerating quantized neural networks on risc-v processors through isa extensions,.

Controllable Latent Space Augmentation for Digital Pathology Xpulpnn: Accelerating quantized neural networks on risc-v processors through isa extensions,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.532977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e43f7062-486a-4492-8928-49d8c5f2e2ec · outbound

This paper cites Snitch: A tiny pseudo dual-issue processor for area and energy efficient execution of floating- point intensive workloads,.

Controllable Latent Space Augmentation for Digital Pathology Snitch: A tiny pseudo dual-issue processor for area and energy efficient execution of floating- point intensive workloads,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.521156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2558e249-914e-46d3-a781-7c0d1ae41c0d · outbound

This paper cites Spatz: A compact vector processing unit for high-performance and energy-efficient shared-l1 clusters,.

Controllable Latent Space Augmentation for Digital Pathology Spatz: A compact vector processing unit for high-performance and energy-efficient shared-l1 clusters,

Reference 13

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:27:21.886426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2bb9a4ab-7fd8-4375-b8c2-a3b1f2affb6c · outbound

This paper cites A 45nm 1.3ghz 16.7 double-precision gflops/w risc-v processor with vector accelerators,.

Controllable Latent Space Augmentation for Digital Pathology A 45nm 1.3ghz 16.7 double-precision gflops/w risc-v processor with vector accelerators,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.510265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af911cd3-207b-4a45-9726-09e93cad6525 · outbound

This paper cites Tic- sat: Tightly-coupled systolic accelerator for transformers,.

Controllable Latent Space Augmentation for Digital Pathology Tic- sat: Tightly-coupled systolic accelerator for transformers,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.500370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 59cdf150-975b-4a77-9360-21f0b3de0d5f · outbound

This paper cites Xnor neural engine: A hardware accelerator ip for 21.6-fj/op binary neural network inference,.

Controllable Latent Space Augmentation for Digital Pathology Xnor neural engine: A hardware accelerator ip for 21.6-fj/op binary neural network inference,

Reference 16

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:27:21.814102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44e66a3a-02f2-45e0-9754-07bb5b3ea2b0 · outbound

This paper cites A 12nm agile-designed soc for swarm-based perception with heterogeneous ip blocks, a reconfigurable memory hierarchy, and an 800mhz multi-plane noc,.

Controllable Latent Space Augmentation for Digital Pathology A 12nm agile-designed soc for swarm-based perception with heterogeneous ip blocks, a reconfigurable memory hierarchy, and an 800mhz multi-plane noc,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.490530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c4d119a2-83a4-47e7-9099-d0d840293632 · outbound

This paper cites Research on nvidia deep learning accelerator,.

Controllable Latent Space Augmentation for Digital Pathology Research on nvidia deep learning accelerator,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.479949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e135a3e4-2b4b-4fa3-887e-619e72177727 · outbound

This paper cites Decoupled access/execute computer architectures,.

Controllable Latent Space Augmentation for Digital Pathology Decoupled access/execute computer architectures,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.468704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fddaffe8-75d4-4d16-be1d-c8485e5c5d3c · outbound

This paper cites Nvidia a100 tensor core gpu: Performance and innovation,.

Controllable Latent Space Augmentation for Digital Pathology Nvidia a100 tensor core gpu: Performance and innovation,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.458322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1541070b-c918-4381-a96d-17bd95ea2ef2 · outbound

This paper cites An analysis of accelerator data-transfer modes in noc-based soc architectures,.

Controllable Latent Space Augmentation for Digital Pathology An analysis of accelerator data-transfer modes in noc-based soc architectures,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.448672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 367065fe-8fa4-4569-9d63-1e9723568b11 · outbound

This paper cites Channel transfers and transactions,.

Controllable Latent Space Augmentation for Digital Pathology Channel transfers and transactions,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.438222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1855a17a-bb4b-42df-af77-56918a9c70fd · outbound

This paper cites A fully-synthesizable single-cycle interconnection network for shared-l1 processor clusters,.

Controllable Latent Space Augmentation for Digital Pathology A fully-synthesizable single-cycle interconnection network for shared-l1 processor clusters,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.427743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0edf7927-139d-4cdc-b1b8-3ce091d1a787 · outbound

This paper cites Zigzag: Enlarging joint architecture-mapping design space exploration for dnn accelerators,.

Controllable Latent Space Augmentation for Digital Pathology Zigzag: Enlarging joint architecture-mapping design space exploration for dnn accelerators,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.416320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 58cd50a4-44d6-46c2-a7ad-21dcab9cfe87 · outbound

This paper cites OpenGeMM: A High-Utilization GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling.

Controllable Latent Space Augmentation for Digital Pathology OpenGeMM: A High-Utilization GeMM Accelerator Generator with Lightweight RISC-V Control and Tight Memory Coupling

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-05T18:27:21.750174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f2db4170-dffc-44b2-a021-d2dfe8cc7797 · outbound

This paper cites Roofline: An insightful visual performance model for multicore architectures,.

Controllable Latent Space Augmentation for Digital Pathology Roofline: An insightful visual performance model for multicore architectures,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.405450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22afb9fe-93f0-4259-9412-05e8bd8eb0a2 · outbound

This paper cites 14.5 a 12nm linux-smp-capable risc-v soc with 14 accelerator types, distributed hardware power management and flexible noc-based data orchestration,.

Controllable Latent Space Augmentation for Digital Pathology 14.5 a 12nm linux-smp-capable risc-v soc with 14 accelerator types, distributed hardware power management and flexible noc-based data orchestration,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.395298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27652284-da47-4e35-a444-0645fe638327 · outbound

This paper cites A 16mm2 106.1 gops/w heterogeneous risc-v multi-core multi-accelerator soc in low-power 22nm finfet,.

Controllable Latent Space Augmentation for Digital Pathology A 16mm2 106.1 gops/w heterogeneous risc-v multi-core multi-accelerator soc in low-power 22nm finfet,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.384350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d630b108-6847-4cfa-a2dc-547807f3dd52 · outbound

This paper cites Siracusa: A low-power on-sensor risc-v soc for extended reality visual processing in 16nm cmos,.

Controllable Latent Space Augmentation for Digital Pathology Siracusa: A low-power on-sensor risc-v soc for extended reality visual processing in 16nm cmos,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.373372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfc253eb-b2b9-4394-ad68-f17feaed4a4c · outbound

This paper cites Ultra-low-power with fpu arm cortex-m4 mcu 120 mhz with 2048 kbytes of flash memory, usb otg, dfsdm, chrom-art,.

Controllable Latent Space Augmentation for Digital Pathology Ultra-low-power with fpu arm cortex-m4 mcu 120 mhz with 2048 kbytes of flash memory, usb otg, dfsdm, chrom-art,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.362200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 63c445b8-67a3-4c6e-a1cd-063713db0cf6 · outbound

This paper cites Mlperf tiny benchmark results v1.0,.

Controllable Latent Space Augmentation for Digital Pathology Mlperf tiny benchmark results v1.0,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.350543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d26477b-2e8b-4e55-8c46-88e2338648ef · outbound

This paper cites Gap-9 processor,.

Controllable Latent Space Augmentation for Digital Pathology Gap-9 processor,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.338507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a4efd5c-0916-401c-bf14-d0b91bc5f920 · outbound

This paper cites Diana: An end-to-end hybrid digital and analog neural network soc for the edge,.

Controllable Latent Space Augmentation for Digital Pathology Diana: An end-to-end hybrid digital and analog neural network soc for the edge,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T18:27:22.325948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87d5f9d7-d64e-43b9-85e3-71bb43c8fc6c · outbound

This paper cites Htvm: Efficient neural network deployment on heterogeneous tinyml platforms,.

Controllable Latent Space Augmentation for Digital Pathology Htvm: Efficient neural network deployment on heterogeneous tinyml platforms,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-05T18:27:21.521223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc855c71-b5ce-4b3d-94f4-0cb84b2f5687 · outbound

This paper cites Available: https://doi.org/10.1145/2744769.2744794.

Controllable Latent Space Augmentation for Digital Pathology Available: https://doi.org/10.1145/2744769.2744794

Reference 2015

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T18:27:22.035927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.