Paper Citation Record · LEDGER

TDFormer: A Top-Down Attention-Controlled Spiking Transformer

As of 18 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.15840.

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

pith.paper-citation-record.v1
2505.15840 v2

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:30.252933Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

44 of 44 outbound references displayed

verified exact2
verified fuzzy16
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c7e885f2-806d-4c90-a6b1-feb901420deb · outbound

This paper cites A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer A Comprehensive Review of Spiking Neural Networks: Interpretation, Optimization, Efficiency, and Best Practices

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.081313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e617f3b-1482-4c33-8db9-53dd7f78fc8e · outbound

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

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Spikformer: When spiking neural network meets transformer

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.086575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9666aa4-9ee1-4f9c-b6c6-aaba5a1ad61d · outbound

This paper cites QKFormer: Hierarchical Spiking Transformer using Q-K Attention.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer QKFormer: Hierarchical Spiking Transformer using Q-K Attention

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.090539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d64764-18c8-4e12-9b6b-4641a3cdd101 · outbound

This paper cites Spikingformer: Spike-driven residual learning for transformer-based spiking neural network.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Spikingformer: Spike-driven residual learning for transformer-based spiking neural network

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.095459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f65838a-d101-4356-9edd-087596539155 · outbound

This paper cites Spike- driven transformer.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Spike- driven transformer

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.824586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5414045a-c154-4699-9383-204ff9c515f4 · outbound

This paper cites Spike-driven transformer v2: Meta spiking neural network architecture inspiring the design of next-generation neuromorphic chips.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Spike-driven transformer v2: Meta spiking neural network architecture inspiring the design of next-generation neuromorphic chips

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.812759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e0ea681-b715-4984-8e75-f4c3843bcbca · outbound

This paper cites Direct training for spiking neural networks: Faster, larger, better.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Direct training for spiking neural networks: Faster, larger, better

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.801084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8e97ea2-ab9d-4776-9427-b1b84c19abaf · outbound

This paper cites Rethinking Spiking Neural Networks from an Ensemble Learning Perspective.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Rethinking Spiking Neural Networks from an Ensemble Learning Perspective

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.111541Z

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Observation 95217f3e-527b-489f-b58f-8296dbfcdb7b · outbound

This paper cites Towards memory-and time-efficient backpropagation for training spiking neural networks.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Towards memory-and time-efficient backpropagation for training spiking neural networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.115717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d30ac0b-9acd-4811-b799-f1070820eef2 · outbound

This paper cites Rethinking the membrane dynamics and optimization objectives of spiking neural networks.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Rethinking the membrane dynamics and optimization objectives of spiking neural networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.781312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56392b6f-59b7-4504-95d9-b3de4e53c191 · outbound

This paper cites Deeptage: Deep temporal-aligned gradient enhancement for optimizing spiking neural networks.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Deeptage: Deep temporal-aligned gradient enhancement for optimizing spiking neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.768975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 092a7009-801d-4152-bc23-43b8423ffcf9 · outbound

This paper cites CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer CLIF: Complementary Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.127711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db1bda9c-f75e-4769-ace0-699189ee3b90 · outbound

This paper cites Spiking Transformer with Spatial-Temporal Attention.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Spiking Transformer with Spatial-Temporal Attention

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:45:30.401567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7c474253-f50f-4ca9-93e0-486a74e9105c · outbound

This paper cites Top-down influences on visual processing.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Top-down influences on visual processing

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.756650Z

Source-reported events for the cited work

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Observation 401587f5-608a-4bc9-8bb5-d323da4c2729 · outbound

This paper cites Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Top-down versus bottom-up control of attention in the prefrontal and posterior parietal cortices

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.743635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d7547ba0-98bc-4cbf-8703-68d6f9a0d254 · outbound

This paper cites The normalization model of attention.Neuron, 61(2):168– 185, 2009.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer The normalization model of attention.Neuron, 61(2):168– 185, 2009

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.731167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d5a4a879-26ad-43eb-bcea-481857f3215f · outbound

This paper cites A common network of functional areas for attention and eye movements.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer A common network of functional areas for attention and eye movements

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.719182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a48252be-a577-4575-8afb-b15514e93b16 · outbound

This paper cites Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.152099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ce8f664-0bd8-4d86-a2ec-7615d474b651 · outbound

This paper cites SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.156648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23db57b5-e5cd-46f7-8eac-e178ec35925f · outbound

This paper cites Sglformer: Spiking global-local-fusion transformer with high performance.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Sglformer: Spiking global-local-fusion transformer with high performance

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.706268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 027161f8-1136-4fbf-9709-be5015dcf319 · outbound

This paper cites Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.693781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 28c6e6cb-8033-442f-bd7b-b77723a1657c · outbound

This paper cites Bottom-up and top-down attention for image captioning and visual question answering.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Bottom-up and top-down attention for image captioning and visual question answering

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.168266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 555e2c10-844e-43cd-a541-26105dca3051 · outbound

This paper cites Top-down visual attention from analysis by synthesis.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Top-down visual attention from analysis by synthesis

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.672765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 398c116f-cecd-4100-90b1-198da29d36af · outbound

This paper cites Biologically-Motivated Learning Model for Instructed Visual Processing.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Biologically-Motivated Learning Model for Instructed Visual Processing

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-08-15T20:45:30.360222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc218b1b-624e-48ca-9216-141dc0a34f8d · outbound

This paper cites Cambridge University Press, 2014.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Cambridge University Press, 2014

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.178915Z

Source-reported events for the cited work

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Observation dbd900ba-ae48-4b0a-9d26-7df38052ba88 · outbound

This paper cites Attention is all you need.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Attention is all you need

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.182205Z

Source-reported events for the cited work

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Observation 3b0ee828-07aa-4de8-bfd2-e4c57065a2a6 · outbound

This paper cites Metaformer is actually what you need for vision.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Metaformer is actually what you need for vision

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.185844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55394f8c-c8fb-455e-9d24-ff68f341b28a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.189500Z

Source-reported events for the cited work

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Observation 01cd6553-9316-4c83-824e-b5437ad4994f · outbound

This paper cites Training data-efficient image transformers & distillation through attention.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Training data-efficient image transformers & distillation through attention

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.193784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2167563-40d4-4476-b734-91909e1f7501 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Swin transformer: Hierarchical vision transformer using shifted windows

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.197847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 711772f5-775e-4440-993d-de622876b541 · outbound

This paper cites Scaling spike-driven transformer with efficient spike firing approximation training.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Scaling spike-driven transformer with efficient spike firing approximation training

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.201645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13630d10-1f7e-4efa-adb1-46b0d1eca5f4 · outbound

This paper cites Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Temporal Efficient Training of Spiking Neural Network via Gradient Re-weighting

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.205573Z

Source-reported events for the cited work

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Observation fedb822e-d328-4e83-88d4-6e3952d2f894 · outbound

This paper cites Going deeper with directly-trained larger spiking neural networks.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Going deeper with directly-trained larger spiking neural networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.210023Z

Source-reported events for the cited work

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Observation d52a4a7d-3344-476e-a48f-6cae80124a08 · outbound

This paper cites Recdis-snn: Rectifying membrane potential distribution for directly training spiking neural net- works.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Recdis-snn: Rectifying membrane potential distribution for directly training spiking neural net- works

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.608487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 54c9bdc3-696b-45ff-9521-245d3b9aa6c7 · outbound

This paper cites Learning multiple layers of features from tiny images.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Learning multiple layers of features from tiny images

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.218178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 589a1346-4364-4449-b5a6-312c12758b81 · outbound

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

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Cifar10-dvs: an event- stream dataset for object classification

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.221882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e68d807e-7208-423f-949e-f276acfd0334 · outbound

This paper cites A low power, fully event-based gesture recognition system.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer A low power, fully event-based gesture recognition system

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.225494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a659521-fb70-4703-93ff-7f82ae5a5e22 · outbound

This paper cites Imagenet: A large- scale hierarchical image database.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Imagenet: A large- scale hierarchical image database

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.229910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 695346ef-6ba3-42d6-9b30-71530851caf1 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.233591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05313118-33bc-419b-bc5a-aa2d2172dda9 · outbound

This paper cites Training high-performance low-latency spiking neural networks by differentiation on spike representation.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Training high-performance low-latency spiking neural networks by differentiation on spike representation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.555640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 339650e8-df46-42ec-9908-422a1d86ff3e · outbound

This paper cites Decoupled Weight Decay Regularization.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Decoupled Weight Decay Regularization

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-15T20:45:30.241419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad65b8fc-7e11-468a-9dcd-4d5ac9a2a391 · outbound

This paper cites Integer-valued training and spike-driven inference spiking neural network for high-performance and energy-efficient object detection.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Integer-valued training and spike-driven inference spiking neural network for high-performance and energy-efficient object detection

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.542952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8dcc51c6-dc02-412c-9137-f1b2ff3110e5 · outbound

This paper cites Beyond classification: Directly training spiking neural networks for semantic segmentation.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Beyond classification: Directly training spiking neural networks for semantic segmentation

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:45:30.529237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b8c5dc6c-4ad6-451d-8a70-9094a1d477ff · outbound

This paper cites Spiking Convolutional Neural Networks for Text Classification.

TDFormer: A Top-Down Attention-Controlled Spiking Transformer Spiking Convolutional Neural Networks for Text Classification

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-08-15T20:45:30.292774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

No inbound Pith citation observations are available.