Paper Citation Record · LEDGER

Hardware-aware Graph Neural Networks prunning for embedded event-based vision

As of 19 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2607.06739.

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

pith.paper-citation-record.v1
2607.06739 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T22:22:58.149049Z

measured 19 of 19 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

19 of 19 outbound references displayed

verified exact3
verified fuzzy15
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05069f76-13be-4ba9-9212-08ef5b24db3e · outbound

This paper cites Event- based vision: A survey.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Event- based vision: A survey

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.377991Z

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 d787f77e-95e1-493a-b2a4-f2505203131c · outbound

This paper cites Learning to detect objects with a 1 megapixel event camera,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Learning to detect objects with a 1 megapixel event camera,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.323760Z

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 0ec63ed1-45c2-40d0-8a42-696cd6ad9e6b · outbound

This paper cites Recurrent vision transformers for object detection with event cameras,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Recurrent vision transformers for object detection with event cameras,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.162199Z

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 46177b12-5d75-47c3-83c9-57a04800d3c7 · outbound

This paper cites Event- based angular velocity regression with spiking networks,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Event- based angular velocity regression with spiking networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.396913Z

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 f9410fe2-69d5-44c2-9aed-40d239dbeff4 · outbound

This paper cites Aegnn: Asynchronous event-based graph neural networks,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Aegnn: Asynchronous event-based graph neural networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.291229Z

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 bf15632a-430c-4eef-a6c2-9cacd030025f · outbound

This paper cites Low-latency automotive vision with event cameras,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Low-latency automotive vision with event cameras,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.143466Z

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 58d5faef-10e1-4fb3-ba03-ee72c1448a3a · outbound

This paper cites Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Embedded Graph Convolutional Networks for Real-Time Event Data Processing on SoC FPGAs

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-10T22:27:38.550464Z

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 334b1c22-f509-4767-a62c-3fbcf8eef742 · outbound

This paper cites Recent event camera innovations: A survey.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Recent event camera innovations: A survey

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.270281Z

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 8fa847cb-6331-48f4-9167-5b9c6cb55bae · outbound

This paper cites Event-based vision on fpgas-a survey,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Event-based vision on fpgas-a survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.307231Z

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 c531b450-01c5-4124-8596-0abdfe83da8b · outbound

This paper cites A composable dynamic sparse dataflow architecture for efficient event-based vision processing on fpga,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision A composable dynamic sparse dataflow architecture for efficient event-based vision processing on fpga,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.341514Z

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 f9879e2a-e76a-4a05-ae70-0a850b351c23 · outbound

This paper cites Evgnn: An event-driven graph neural network accelerator for edge vision,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Evgnn: An event-driven graph neural network accelerator for edge vision,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.361009Z

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 8d6adf75-45fe-4e63-91fd-e621d5c67861 · outbound

This paper cites Prun- ing graph neural networks by evaluating edge properties,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Prun- ing graph neural networks by evaluating edge properties,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.252130Z

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 e5f1d6c2-2f05-400a-b6dc-0aac0eef737f · outbound

This paper cites Cp3: Channel pruning plug-in for point-based networks,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Cp3: Channel pruning plug-in for point-based networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.219769Z

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 3ce93b28-13d3-4e11-ad7a-8578708719dc · outbound

This paper cites A survey on deep neural network pruning: Taxonomy, comparison, analysis, and recommendations,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision A survey on deep neural network pruning: Taxonomy, comparison, analysis, and recommendations,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.235795Z

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 447e4b23-b10d-425d-b0a4-124d4e2cccb4 · outbound

This paper cites Fpga resource-aware structured pruning for real-time neural networks,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Fpga resource-aware structured pruning for real-time neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.202395Z

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 87c40660-b11a-4f40-9d4f-cbd0e03f8f25 · outbound

This paper cites Hardware-aware pruning for fpga deep learning accelerators,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Hardware-aware pruning for fpga deep learning accelerators,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-10T22:27:40.183112Z

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 734f8f38-5ba0-4e2d-9524-1e9225d16cea · outbound

This paper cites Poker-dvs and mnist-dvs. their history, how they were made, and other details,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Poker-dvs and mnist-dvs. their history, how they were made, and other details,

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-10T22:27:38.509863Z

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 147f7207-d4e1-4833-864b-83c7e34e60c7 · outbound

This paper cites Cifar10-dvs: An event-stream dataset for object classification,.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Cifar10-dvs: An event-stream dataset for object classification,

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-10T22:27:36.487170Z

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 d731942d-7a59-4509-bd72-ebf98b1c1649 · outbound

This paper cites Cohen, and Nitish Thakor.

Hardware-aware Graph Neural Networks prunning for embedded event-based vision Cohen, and Nitish Thakor

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-07-10T22:27:38.531578Z

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.