diff --git a/latest_configs/multi_16x16_rand_randsnap_lrstep1_a.yaml b/latest_configs/multi_16x16_rand_randsnap_lrstep1_a.yaml
new file mode 100644
index 0000000..19fd259
--- /dev/null
+++ b/latest_configs/multi_16x16_rand_randsnap_lrstep1_a.yaml
@@ -0,0 +1,91 @@
+
+global:
+  seed: 10
+  nthetas: 65
+  beamformer_input: True #True
+  empirical_input: True
+  phase_input: True #True
+  rx_spacing_input: True #True
+  n_radios: 2
+
+datasets:
+  train_paths: 
+    - /mnt/4tb_ssd/nosig_data/wallarrayv3_2024*.zarr
+  val_holdout_fraction: 0.2
+  val_subsample_fraction: 0.2
+  precompute_cache: /home/mouse9911/precompute_cache_chunk16_sept
+  skip_qc: True
+  val_snapshots_per_session: 16
+  train_snapshots_per_session: 32
+  random_snapshot_size: True
+  snapshots_stride: 1
+  snapshots_adjacent_stride: 32
+  val_snapshots_adjacent_stride: 16
+  random_adjacent_stride: True
+  batch_size: 64
+  shuffle: True
+  workers: 20
+  sigma: 0.25
+  scatter_k: 21
+  flip: False
+  double_flip: False
+  scatter: continuous
+
+  empirical_data_fn: /home/mouse9911/gits/spf/empirical_dists/full.pkl 
+  empirical_individual_radio: False
+  empirical_symmetry: True
+
+
+logger:
+  name: wandb
+  project: 2024_oct22_single_paired_multi
+  log_every: 100
+  plot_every: 15000
+
+model:
+  name: multipairedbeamformer
+  load_paired: True
+  skip_connection: False
+  use_xy: True
+  transformer:
+    d_model: 1024
+    n_heads: 8
+    d_hid: 256
+    dropout: 0.0
+    n_layers: 4
+  paired:
+    hidden: 1024
+    depth: 4
+    block: True
+    bn: True
+    norm: layer
+    detach: True
+    dropout: 0.0
+    load_single: True
+    single:
+      hidden: 1024
+      depth: 4
+      block: True
+      bn: True
+      norm: layer
+      detach: True
+      input_dropout: 0.3
+      dropout: 0.0
+
+optim:
+  head_start: 0
+  device: cuda
+  dtype: torch.float32
+  resume_step: 0
+  epochs: 10
+  direct_loss: False
+  val_every: 5000 
+  learning_rate: 5.0e-5
+  weight_decay: 0.0000000
+  amp: False
+  loss: mse
+  scheduler_step: 3
+  checkpoint_every: 20000
+  output: multipaired_checkpoints
+  save_on: val_multipaired_loss
+  checkpoint: /home/mouse9911/gits/spf/oct24_paired_checkpoints/best.pth
diff --git a/latest_configs/multi_16x16_rand_traj_randsnap_lrstep1_b.yaml b/latest_configs/multi_16x16_rand_traj_randsnap_lrstep1_b.yaml
new file mode 100644
index 0000000..907e318
--- /dev/null
+++ b/latest_configs/multi_16x16_rand_traj_randsnap_lrstep1_b.yaml
@@ -0,0 +1,95 @@
+
+global:
+  seed: 10
+  nthetas: 65
+  beamformer_input: True #True
+  empirical_input: True
+  phase_input: True #True
+  rx_spacing_input: True #True
+  n_radios: 2
+
+datasets:
+  train_paths: 
+    - /mnt/4tb_ssd/nosig_data/wallarrayv3_2024*.zarr
+  val_holdout_fraction: 0.2
+  val_subsample_fraction: 0.2
+  precompute_cache: /home/mouse9911/precompute_cache_chunk16_sept
+  skip_qc: True
+  val_snapshots_per_session: 16
+  train_snapshots_per_session: 32
+  random_snapshot_size: True
+  snapshots_stride: 1
+  snapshots_adjacent_stride: 32
+  val_snapshots_adjacent_stride: 16
+  random_adjacent_stride: True
+  batch_size: 64
+  shuffle: True
+  workers: 20
+  sigma: 0.25
+  scatter_k: 21
+  flip: False
+  double_flip: False
+  scatter: continuous
+
+  empirical_data_fn: /home/mouse9911/gits/spf/empirical_dists/full.pkl 
+  empirical_individual_radio: False
+  empirical_symmetry: True
+
+
+logger:
+  name: wandb
+  project: 2024_oct22_single_paired_multi
+  log_every: 100
+  plot_every: 15000
+
+model:
+  name: trajmultipairedbeamformer
+  load_paired: True
+  skip_connection: False
+  latent: 64
+  traj_hidden: 512
+  traj_layers: 8
+  use_xy: True
+  pred_xy: True
+  transformer:
+    d_model: 2048
+    n_heads: 8
+    d_hid: 256
+    dropout: 0.0
+    n_layers: 8
+  paired:
+    hidden: 1024
+    depth: 4
+    block: True
+    bn: True
+    norm: layer
+    detach: True
+    dropout: 0.0
+    load_single: True
+    single:
+      hidden: 1024
+      depth: 4
+      block: True
+      bn: True
+      norm: layer
+      detach: True
+      input_dropout: 0.3
+      dropout: 0.0
+
+optim:
+  head_start: 0
+  device: cuda
+  dtype: torch.float32
+  resume_step: 0
+  epochs: 10
+  direct_loss: False
+  val_every: 5000 
+  learning_rate: 1.0e-5
+  weight_decay: 0.0000000
+  amp: False
+  loss: mse
+  scheduler_step: 3
+  checkpoint_every: 20000
+  output: multipaired_traj_checkpoints
+  save_on: val_multipaired_loss
+  checkpoint: /home/mouse9911/gits/spf/oct24_paired_checkpoints/best.pth
diff --git a/latest_configs/paired.yaml b/latest_configs/paired.yaml
new file mode 100644
index 0000000..a609382
--- /dev/null
+++ b/latest_configs/paired.yaml
@@ -0,0 +1,72 @@
+datasets:
+  batch_size: 256
+  empirical_data_fn: /home/mouse9911/gits/spf/empirical_dists/full.pkl
+  empirical_individual_radio: false
+  empirical_symmetry: true
+  flip: false
+  double_flip: True
+  precompute_cache: /home/mouse9911/precompute_cache_chunk16_sept
+  scatter: continuous
+  scatter_k: 21
+  shuffle: true
+  sigma: 0.25
+  skip_qc: true
+  snapshots_adjacent_stride: 1
+  train_snapshots_per_session: 1
+  val_snapshots_per_session: 1
+  random_snapshot_size: False
+  snapshots_stride: 1
+  train_paths:
+  - /mnt/4tb_ssd/nosig_data/wallarrayv3_2024*.zarr
+  val_holdout_fraction: 0.2
+  val_subsample_fraction: 0.2
+  workers: 20
+global:
+  beamformer_input: true
+  empirical_input: true
+  n_radios: 2
+  nthetas: 65
+  phase_input: true
+  rx_spacing_input: true
+  seed: 10
+logger:
+  log_every: 100
+  name: wandb
+  plot_every: 15000
+  project: 2024_nov2_single_paired_multi
+model:
+  block: true
+  bn: true
+  depth: 4
+  detach: true
+  dropout: 0.0
+  hidden: 1024
+  load_single: true
+  name: pairedbeamformer
+  norm: layer
+  single:
+    block: true
+    bn: true
+    depth: 4
+    detach: true
+    dropout: 0.0
+    hidden: 1024
+    input_dropout: 0.3
+    norm: layer
+optim:
+  amp: true
+  checkpoint: /home/mouse9911/gits/spf/nov2_checkpoints/single_checkpoints_inputdo0p3/best.pth
+  checkpoint_every: 5000
+  device: cuda
+  direct_loss: false
+  dtype: torch.float32
+  epochs: 60
+  head_start: 0
+  learning_rate: 0.0002
+  loss: mse
+  output: /home/mouse9911/gits/spf/nov2_checkpoints/paired_checkpoints_inputdo0p3
+  resume_step: 0
+  save_on: val_paired_loss
+  scheduler_step: 6
+  val_every: 10000
+  weight_decay: 0.0
diff --git a/latest_configs/paired_noflip.yaml b/latest_configs/paired_noflip.yaml
new file mode 100644
index 0000000..1b3e436
--- /dev/null
+++ b/latest_configs/paired_noflip.yaml
@@ -0,0 +1,72 @@
+datasets:
+  batch_size: 256
+  empirical_data_fn: /home/mouse9911/gits/spf/empirical_dists/full.pkl
+  empirical_individual_radio: false
+  empirical_symmetry: true
+  flip: false
+  double_flip: false
+  precompute_cache: /home/mouse9911/precompute_cache_chunk16_sept
+  scatter: continuous
+  scatter_k: 21
+  shuffle: true
+  sigma: 0.25
+  skip_qc: true
+  snapshots_adjacent_stride: 1
+  train_snapshots_per_session: 1
+  val_snapshots_per_session: 1
+  random_snapshot_size: False
+  snapshots_stride: 1
+  train_paths:
+  - /mnt/4tb_ssd/nosig_data/wallarrayv3_2024*.zarr
+  val_holdout_fraction: 0.2
+  val_subsample_fraction: 0.2
+  workers: 20
+global:
+  beamformer_input: true
+  empirical_input: true
+  n_radios: 2
+  nthetas: 65
+  phase_input: true
+  rx_spacing_input: true
+  seed: 10
+logger:
+  log_every: 100
+  name: wandb
+  plot_every: 15000
+  project: 2024_oct22_single_paired_multi
+model:
+  block: true
+  bn: true
+  depth: 4
+  detach: true
+  dropout: 0.0
+  hidden: 1024
+  load_single: true
+  name: pairedbeamformer
+  norm: layer
+  single:
+    block: true
+    bn: true
+    depth: 4
+    detach: true
+    dropout: 0.0
+    hidden: 1024
+    input_dropout: 0.3
+    norm: layer
+optim:
+  amp: true
+  checkpoint: /home/mouse9911/gits/spf/oct23_single_checkpoints_inputdo0p3_x3/best.pth
+  checkpoint_every: 5000
+  device: cuda
+  direct_loss: false
+  dtype: torch.float32
+  epochs: 40
+  head_start: 0
+  learning_rate: 0.0001
+  loss: mse
+  output: oct23_paired_checkpoints_noflip
+  resume_step: 0
+  save_on: val_paired_loss
+  scheduler_step: 20
+  val_every: 10000
+  weight_decay: 0.0
diff --git a/latest_configs/single_config.yaml b/latest_configs/single_config.yaml
new file mode 100644
index 0000000..e588930
--- /dev/null
+++ b/latest_configs/single_config.yaml
@@ -0,0 +1,62 @@
+datasets:
+  batch_size: 256
+  empirical_data_fn: /home/mouse9911/gits/spf/empirical_dists/full.pkl
+  empirical_individual_radio: false
+  empirical_symmetry: true
+  flip: true
+  double_flip: false
+  precompute_cache: /home/mouse9911/precompute_cache_chunk16_sept
+  scatter: continuous
+  scatter_k: 21
+  shuffle: true
+  sigma: 0.25
+  skip_qc: true
+  snapshots_adjacent_stride: 1
+  train_snapshots_per_session: 1
+  val_snapshots_per_session: 1
+  random_snapshot_size: False
+  snapshots_stride: 1
+  train_paths:
+  - /mnt/4tb_ssd/nosig_data/wallarrayv3_2024*.zarr
+  val_holdout_fraction: 0.2
+  val_subsample_fraction: 0.2
+  workers: 20
+global:
+  beamformer_input: true
+  empirical_input: true
+  n_radios: 2
+  nthetas: 65
+  phase_input: true
+  rx_spacing_input: true
+  seed: 10
+logger:
+  log_every: 100
+  name: wandb
+  plot_every: 15000
+  project: 2024_nov2_single_paired_multi
+model:
+  block: true
+  bn: true
+  depth: 4
+  detach: true
+  dropout: 0.0
+  hidden: 1024
+  input_dropout: 0.3
+  name: beamformer
+  norm: layer
+optim:
+  amp: true
+  checkpoint_every: 5000
+  device: cuda
+  direct_loss: false
+  dtype: torch.float32
+  epochs: 30
+  head_start: 0
+  learning_rate: 0.002
+  loss: mse
+  output: /home/mouse9911/gits/spf/nov2_checkpoints/single_checkpoints_inputdo0p3
+  resume_step: 0
+  save_on: val_single_loss
+  scheduler_step: 7
+  val_every: 10000
+  weight_decay: 0.0
diff --git a/latest_configs/single_config_noflip.yaml b/latest_configs/single_config_noflip.yaml
new file mode 100644
index 0000000..f0f80ed
--- /dev/null
+++ b/latest_configs/single_config_noflip.yaml
@@ -0,0 +1,62 @@
+datasets:
+  batch_size: 256
+  empirical_data_fn: /home/mouse9911/gits/spf/empirical_dists/full.pkl
+  empirical_individual_radio: false
+  empirical_symmetry: true
+  flip: false
+  double_flip: false
+  precompute_cache: /home/mouse9911/precompute_cache_chunk16_sept
+  scatter: continuous
+  scatter_k: 21
+  shuffle: true
+  sigma: 0.25
+  skip_qc: true
+  snapshots_adjacent_stride: 1
+  train_snapshots_per_session: 1
+  val_snapshots_per_session: 1
+  random_snapshot_size: False
+  snapshots_stride: 1
+  train_paths:
+  - /mnt/4tb_ssd/nosig_data/wallarrayv3_2024*.zarr
+  val_holdout_fraction: 0.2
+  val_subsample_fraction: 0.2
+  workers: 20
+global:
+  beamformer_input: true
+  empirical_input: true
+  n_radios: 2
+  nthetas: 65
+  phase_input: true
+  rx_spacing_input: true
+  seed: 10
+logger:
+  log_every: 100
+  name: wandb
+  plot_every: 15000
+  project: 2024_oct22_single_paired_multi
+model:
+  block: true
+  bn: true
+  depth: 4
+  detach: true
+  dropout: 0.0
+  hidden: 1024
+  input_dropout: 0.3
+  name: beamformer
+  norm: layer
+optim:
+  amp: true
+  checkpoint_every: 5000
+  device: cuda
+  direct_loss: false
+  dtype: torch.float32
+  epochs: 25
+  head_start: 0
+  learning_rate: 0.002
+  loss: mse
+  output: oct23_single_checkpoints_inputdo0p3_noflip_x3
+  resume_step: 0
+  save_on: val_single_loss
+  scheduler_step: 7
+  val_every: 10000
+  weight_decay: 0.0
diff --git a/spf/model_training_and_inference/models/single_point_networks_inference.py b/spf/model_training_and_inference/models/single_point_networks_inference.py
new file mode 100644
index 0000000..bc7f059
--- /dev/null
+++ b/spf/model_training_and_inference/models/single_point_networks_inference.py
@@ -0,0 +1,43 @@
+from spf.scripts.train_single_point import (
+    load_checkpoint,
+    load_config_from_fn,
+    load_model,
+)
+
+
+def load_model_and_config_from_config_fn_and_checkpoint(config_fn, checkpoint_fn):
+    config = load_config_from_fn(config_fn)
+    config["optim"]["checkpoint"] = checkpoint_fn
+    m = load_model(config["model"], config["global"]).to(config["optim"]["device"])
+    m, _, _, _, _ = load_checkpoint(
+        checkpoint_fn=config["optim"]["checkpoint"],
+        config=config,
+        model=m,
+        optimizer=None,
+        scheduler=None,
+        force_load=True,
+    )
+    return m, config
+
+
+def convert_datasets_config_to_inference(datasets_config, ds_fn):
+    datasets_config = datasets_config.copy()
+    datasets_config.update(
+        {
+            "batch_size": 1,
+            "flip": False,
+            "double_flip": False,
+            "precompute_cache": "/home/mouse9911/precompute_cache_chunk16_sept",
+            "shuffle": False,
+            "skip_qc": True,
+            "snapshots_adjacent_stride": 1,
+            "train_snapshots_per_session": 1,
+            "val_snapshots_per_session": 1,
+            "random_snapshot_size": False,
+            "snapshots_stride": 1,
+            "train_paths": [ds_fn],
+            "train_on_val": True,
+            "workers": 1,
+        }
+    )
+    return datasets_config