Paper Citation Record · LEDGER

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2412.05505.

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

pith.paper-citation-record.v1
2412.05505 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:46:18.400078Z

measured 30 of 30 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:43:25.940678Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:43:26.094446Z

Reference resolution

29 of 29 outbound references displayed

verified exact2
verified fuzzy20
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 57df2711-e123-49c7-b654-532f9fb63a16 · outbound

This paper cites write newline.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:18.275616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2ca70d3-db77-471c-b11b-d44a41fa0e41 · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Estimating or Propagating Gradients Through Stochastic Neurons

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:18.281829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46b19991-eab1-4e17-9e50-771d516d69ea · outbound

This paper cites Davies et al.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Davies et al

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.913563Z

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 f17418c1-3a11-475e-b3b3-16993c1cc917 · outbound

This paper cites Loihi: A neuromorphic manycore processor with on-chip learning.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Loihi: A neuromorphic manycore processor with on-chip learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.901020Z

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 ff95fb8c-6b08-4172-99db-6f55a0bb72aa · outbound

This paper cites Truenorth: Accelerating from zero to 64 million neurons in 10 years.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Truenorth: Accelerating from zero to 64 million neurons in 10 years

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.888077Z

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 016c38ed-0c72-4898-8460-4bdf58fad4f2 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search An image is worth 16x16 words: Transformers for image recognition at scale

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.873915Z

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 32ae7932-f9c7-480e-95f9-d793feb385ba · outbound

This paper cites Auto-nba: Efficient and effective search over the joint space of networks, bitwidths, and accelerators.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Auto-nba: Efficient and effective search over the joint space of networks, bitwidths, and accelerators

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.859778Z

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 39b9c223-adaa-4ec8-9f96-e2edb319faf3 · outbound

This paper cites Garrick, G.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Garrick, G

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.845701Z

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 0e0e0b09-344c-42df-b544-6f7fc4d76d50 · outbound

This paper cites Categorical reparameterization with gumbel-softmax.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Categorical reparameterization with gumbel-softmax

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.832245Z

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 ed30b151-5668-4726-9296-41a9224250f2 · outbound

This paper cites Parallel time batching: Systolic-array acceleration of sparse spiking neural computation.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Parallel time batching: Systolic-array acceleration of sparse spiking neural computation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:18.319133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb54f289-7f67-4647-80d7-5ea73194036a · outbound

This paper cites an unresolved cited work.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:46:18.818953Z

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 23e4468b-d1b6-415b-92a5-7610ca270365 · outbound

This paper cites DARTS: differentiable architecture search.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search DARTS: differentiable architecture search

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.805577Z

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 ed9331e1-3206-42e4-bd04-384a31f70b61 · outbound

This paper cites Ecoformer: Energy-saving attention with linear complexity.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Ecoformer: Energy-saving attention with linear complexity

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.792430Z

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 027215c5-a323-42be-a339-f2371fec5a29 · outbound

This paper cites Fast neural networks without multipliers.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Fast neural networks without multipliers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.778296Z

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 63ee0716-77c9-481d-901d-b33002508c11 · outbound

This paper cites Merolla, John V.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Merolla, John V

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.764053Z

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 3f0f62f5-2edd-481b-a684-8e981c7645e4 · outbound

This paper cites A White Paper on Neural Network Quantization.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search A White Paper on Neural Network Quantization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:18.344243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df2bb58e-4ae2-49b2-9376-d3bc38e140b0 · outbound

This paper cites Q-spinn: A framework for quantizing spiking neural networks.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Q-spinn: A framework for quantizing spiking neural networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.750366Z

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 7172ffe6-c38b-42f6-8a18-c655d287077b · outbound

This paper cites An approach to the application of shift-and-add algorithms on engineering and industrial processes.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search An approach to the application of shift-and-add algorithms on engineering and industrial processes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.736688Z

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 8ff396b5-2890-4e8d-a83c-62735c81c7e3 · outbound

This paper cites Adder attention for vision transformer.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Adder attention for vision transformer

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.723020Z

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 dc721017-2fa0-4766-a8c4-39dfd5225be0 · outbound

This paper cites Hardware efficient weight-binarized spiking neural networks.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Hardware efficient weight-binarized spiking neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.709765Z

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 7a721eeb-4c4e-459d-b554-101abbb846a1 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.695040Z

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 9ed678bd-70f4-4cde-ac26-a5098d9176cc · outbound

This paper cites DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search DISTA: Denoising Spiking Transformer with intrinsic plasticity and spatiotemporal attention

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:18.368618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949e8ff6-ce21-40ea-ae6c-5a2f2650332a · outbound

This paper cites DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search DS2TA: Denoising Spiking Transformer with Attenuated Spatiotemporal Attention

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:46:18.465783Z

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 f19c3452-83ea-467a-a6cd-5aac1a4c2631 · outbound

This paper cites Spiking Transformer Hardware Accelerators in 3D Integration.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Spiking Transformer Hardware Accelerators in 3D Integration

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:46:18.444541Z

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 c5defafc-2845-40cd-8c5b-a8afc43c1df6 · outbound

This paper cites Adaptive equalizer using finite-bit power-of-two quantizer.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Adaptive equalizer using finite-bit power-of-two quantizer

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.681459Z

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 8a71ca4d-f210-4d38-a0c3-87bc82651a16 · outbound

This paper cites Shiftaddnet: A hardware-inspired deep network.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Shiftaddnet: A hardware-inspired deep network

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.667309Z

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 8a73b9f3-7f1f-4cbf-b495-e519ecf33df3 · outbound

This paper cites Temporal spike sequence learning via backpropagation for deep spiking neural networks.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Temporal spike sequence learning via backpropagation for deep spiking neural networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.653290Z

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 1abe284b-12a9-4950-ac8b-3174d6d88be3 · outbound

This paper cites Spikformer: When spiking neural network meets transformer.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search Spikformer: When spiking neural network meets transformer

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:46:18.638828Z

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 4288229e-5ca7-470e-9220-b177ec6bcc14 · outbound

This paper cites write newline.

Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search write newline

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T20:46:18.400078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation b173eae0-0614-497f-9179-fd7e815aedde · inbound

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks cites this paper.

SpikeX: Exploring Accelerator Architecture and Network-Hardware Co-Optimization for Sparse Spiking Neural Networks Trimming Down Large Spiking Vision Transformers via Heterogeneous Quantization Search

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:43:26.100119Z

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.