doc: reference update

docs/references.md

@@ -5,10 +5,10 @@
 | Notation | Author(s) | Title | Publisher | Year | Cutoff | Link to Paper |
 |----------|-----------|--------------------|--------------|---------------|-------|-------|
 | **2024** | | | | | | | |
-| <span style=color:#AEDEFC>STR</span> | Wu et al. | *Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network* | arXiv preprint arXiv:2405.00699 | 2024 | :heavy_check_mark: | [Link](https://arxiv.org/abs/2405.00699) |
+| <span style=color:#AEDEFC>STR</span> | Wu et al. | *Direct Training Needs Regularisation: Anytime Optimal Inference Spiking Neural Network* | arXiv preprint arXiv:2405.00699 | 2024 | <span style="color:green;font-weight:bold">&#10003;</span> | [Link](https://arxiv.org/abs/2405.00699) |
 | **2023** | | | | | | | |
-| <span style=color:#AEDEFC> <ins> RCS </ins> </span> | Wu et al. | *Optimising event-driven spiking neural network with regularisation and cutoff* | arXiv preprint arXiv:2301.09522 | 2023 | :heavy_check_mark: | [Link](https://arxiv.org/abs/2301.09522) |
-| <span style=color:#AEDEFC> <ins> SpikeCP </ins> </span> | Chen et al. | *SpikeCP: Delay-adaptive reliable spiking neural networks via conformal prediction* | arXiv preprint arXiv:2305.11322 | 2023 | :heavy_check_mark: | [Link](https://arxiv.org/abs/2305.11322) |
+| <span style=color:#AEDEFC> <ins> RCS </ins> </span> | Wu et al. | *Optimising event-driven spiking neural network with regularisation and cutoff* | arXiv preprint arXiv:2301.09522 | 2023 | <span style="color:green;font-weight:bold">&#10003;</span> | [Link](https://arxiv.org/abs/2301.09522) |
+| <span style=color:#AEDEFC> <ins> SpikeCP </ins> </span> | Chen et al. | *SpikeCP: Delay-adaptive reliable spiking neural networks via conformal prediction* | arXiv preprint arXiv:2305.11322 | 2023 | <span style="color:green;font-weight:bold">&#10003;</span> | [Link](https://arxiv.org/abs/2305.11322) |
 | **2022** | | | | | | | |
 | <span style=color:#FB929E>ECC</span> | Wu et al. | *A little energy goes a long way: Build an energy-efficient, accurate spiking neural network from convolutional neural network* | Frontiers in neuroscience | 2022 | - | [Link](https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2022.759900/full) |
 | <span style=color:#FB929E> <ins> QCFS </ins> </span> | Bu et al. | *Optimal {ANN}-{SNN} Conversion for High-accuracy and Ultra-low-latency Spiking Neural Networks* | ICLR | 2022 | - | [Link](https://openreview.net/forum?id=7B3IJMM1k_M) |