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The JWT signature verification failed. Check the signing key and the algorithm.
Error code:   JWTInvalidSignature
Exception:    InvalidSignatureError
Message:      Signature verification failed
Traceback:    Traceback (most recent call last):
                File "/src/libs/libapi/src/libapi/jwt_token.py", line 286, in validate_jwt
                  decoded = jwt.decode(
                      jwt=token,
                  ...<2 lines>...
                      options=options,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 368, in decode
                  decoded = self.decode_complete(
                      jwt,
                  ...<8 lines>...
                      leeway=leeway,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jwt.py", line 265, in decode_complete
                  decoded = self._jws.decode_complete(
                      jwt,
                  ...<3 lines>...
                      detached_payload=detached_payload,
                  )
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 270, in decode_complete
                  self._verify_signature(
                  ~~~~~~~~~~~~~~~~~~~~~~^
                      signing_input,
                      ^^^^^^^^^^^^^^
                  ...<4 lines>...
                      options=merged_options,
                      ^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/jwt/api_jws.py", line 417, in _verify_signature
                  raise InvalidSignatureError("Signature verification failed")
              jwt.exceptions.InvalidSignatureError: Signature verification failed

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This is the dataset repository of a paper ''SciPostLayoutTree: A Dataset for Structural Analysis of Scientific Posters'' (https://arxiv.org/abs/2511.18329). SciPostLayoutTree is a dataset of about 8,000 scientific posters annotated with reading order information and parent child relations, represented as DFS ordered trees. The dataset extends SciPostLayout by adding region level structural annotations that cover eight layout categories including Title, Author Info, Section, Text, List, Figure, Table, and Caption. Scientific posters exhibit dense and diverse spatial arrangements, and SciPostLayoutTree reflects this property through frequent upward, horizontal, and long distance relations that are not commonly observed in document based datasets. These characteristics make the dataset useful for training and evaluating models designed to understand the hierarchical organization of visually rich poster layouts. For dataset usage and reproduction steps, please refer to the instructions provided in the following repository: https://github.com/omron-sinicx/scipostlayouttree

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