THE CONSCIOUSNESS ATLAS
Read. Experiment. Follow the evidence.
Every recovered mathematical record has an individual page. Browse original equations, code expressions, indexed components, parameter definitions, and explicitly unresolved source slots.
Counts refer to mathematical records, including implemented expressions and generated instances. They are not counts of independently validated theories. Exact occurrences and unresolved slots remain traceable. Read the complete 1–516 source index ↗ · Inspect the scan decisions ↗
In KimiK25ForConditionalGeneration._merge_input_ids_with_image_features, this statement defines or updates new_token_positions. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In KimiK25ForConditionalGeneration._merge_input_ids_with_image_features, this statement defines or updates position_ids. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In KimiK25ForConditionalGeneration.forward, this statement defines or updates (batch_index, non_attended_tokens). The reduction aggregates values along the explicit source axis; preserving the axis and keep-dimension setting matters for the later broadcast.
In KimiK25ForConditionalGeneration.forward, this statement defines or updates extended_attention_mask[new_batch_index, new_non_attended_tokens]. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.
In KimiK25ForConditionalGeneration.forward, this statement defines or updates position_ids. The reduction aggregates values along the explicit source axis; preserving the axis and keep-dimension setting matters for the later broadcast.
In KimiK25ForConditionalGeneration.prepare_inputs_for_generation, this statement defines or updates attention_mask. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In KimiK25ForConditionalGeneration.prepare_inputs_for_generation, this statement defines or updates input_ids. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In KimiK25ForConditionalGeneration.prepare_inputs_for_generation, this statement defines or updates input_ids. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In KimiK25ForConditionalGeneration.prepare_inputs_for_generation, this statement defines or updates position_ids. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In KimiK25Processor.update_raw_text, this statement defines or updates text. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In KimiK25VisionProcessor.preprocess, this statement defines or updates image_std_inv. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In KimiK25VisionProcessor.split_video_chunks, this statement defines or updates chunk. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In KimiK25VisionProcessor.split_video_chunks, this statement defines or updates frame_inds. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In KimiK25VisionProcessor.split_video_chunks, this statement defines or updates num_chunks. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.
In KimiK25VisionProcessor.split_video_chunks, this statement defines or updates num_chunks. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.
In KimiK25VisionProcessor.split_video_chunks, this statement defines or updates sample_fps. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In KimiK25VisionProcessor.split_video_chunks, this statement defines or updates sampled_nframes. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In KimiK25VisionProcessor.split_video_chunks, this statement defines or updates start_time. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In KimiK25VisionProcessor.to_json_string, this statement returns the displayed result. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In Learnable2DInterpPosEmbDivided_fixed.forward, this statement defines or updates out. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In Learnable2DInterpPosEmbDivided_fixed.forward, this statement defines or updates pos_emb_3d. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In MLP.forward, this statement defines or updates x. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In MoEGate.forward, this statement defines or updates (_, topk_idx). The top-k operation selects the largest scores. Ties and group masking affect which experts or entries survive the discrete boundary.
In MoEGate.forward, this statement defines or updates denominator. The top-k operation selects the largest scores. Ties and group masking affect which experts or entries survive the discrete boundary. The reduction aggregates values along the explicit source axis; preserving the axis and…
In MoEGate.forward, this statement defines or updates group_idx. The top-k operation selects the largest scores. Ties and group masking affect which experts or entries survive the discrete boundary.
In MoEGate.forward, this statement defines or updates group_scores. The top-k operation selects the largest scores. Ties and group masking affect which experts or entries survive the discrete boundary. The reduction aggregates values along the explicit source axis; preserving the axis and…
In MoEGate.forward, this statement defines or updates logits. The matrix or indexed contraction combines the stated axes. Compatible tensor dimensions and the transposes in this exact source expression determine the output.
In MoEGate.forward, this statement defines or updates score_mask. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In MoEGate.forward, this statement defines or updates topk_weight. The top-k operation selects the largest scores. Ties and group masking affect which experts or entries survive the discrete boundary. Expert choice and expert mixture weight are separate in this implementation. Correction bias…
In MoonViT3dEncoder.__init__, this statement defines or updates self.rope_2d. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In MoonViT3dEncoder.forward, this statement defines or updates cu_seqlens. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In MoonViT3dEncoder.forward, this statement defines or updates lengths. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In MoonViT3dEncoder.forward, this statement defines or updates max_seqlen. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In MoonViTEncoderLayer.__init__, this statement defines or updates self.hidden_size_per_attention_head. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In MoonViTEncoderLayer.__init__, this statement defines or updates self.wqkv. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In MoonViTEncoderLayer.attention_qkvpacked, this statement defines or updates qkv_shape. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In Rope2DPosEmbRepeated._precompute_freqs_cis, this statement defines or updates N. The displayed multiplication combines the source factors. For tensors this is elementwise unless the called operation explicitly performs a matrix contraction.
In Rope2DPosEmbRepeated._precompute_freqs_cis, this statement defines or updates dim_range. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In Rope2DPosEmbRepeated._precompute_freqs_cis, this statement defines or updates flat_pos. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In Rope2DPosEmbRepeated._precompute_freqs_cis, this statement defines or updates freqs. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In Rope2DPosEmbRepeated._precompute_freqs_cis, this statement defines or updates x_freqs. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In Rope2DPosEmbRepeated._precompute_freqs_cis, this statement defines or updates x_pos. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In Rope2DPosEmbRepeated._precompute_freqs_cis, this statement defines or updates y_freqs. This statement evaluates the named projection, normalization or numeric transform with the source arguments. Its learned parameters and exact input shape are defined by the surrounding module.
In Rope2DPosEmbRepeated._precompute_freqs_cis, this statement defines or updates y_pos. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In Rope2DPosEmbRepeated.get_freqs_cis, this statement defines or updates freqs_cis. The expression forms a quotient or integer division. The denominator, integer rounding and tensor shape convention determine its scale or index result.
In TikTokenTokenizer.__init__, this statement defines or updates self._cache_max_size. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.
In TikTokenTokenizer.__init__, this statement defines or updates self.special_tokens. The addition or subtraction updates the named state or combines residual contributions. The input shapes and the order in the surrounding forward path must be preserved.
In TikTokenTokenizer._split_whitespaces_or_nonwhitespaces, this statement defines or updates current_slice_len. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.
In TikTokenTokenizer._split_whitespaces_or_nonwhitespaces, this statement defines or updates current_slice_len. This statement fixes a numeric parameter or initializes a numerical state in this source version; it is not a separate governing law.