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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AstroCLIMB:

Astronomy Citation Linking from Illustrations: a Multimodal Benchmark

AstroCLIMB is the shared task for 4th WASP: Workshop on Artificial Intelligence for Scientific Publications.

Motivation

Scientists rely on figures to share their discoveries, but this makes the information contained in the figures hard to parse, archive, and search. Recent multimodal neural-network models promise to extract this information, but have not yet been widely tested and adopted by the astronomy community. In partnership with astroexplorer.org, we offer a novel dataset and an associated task as a benchmark to evaluate a model’s multimodal capabilities. The task is to partially reconstruct the citation graph of astronomy papers from their figures and captions.

Dataset

The dataset consists of over 100K figure+caption pairs from the astroexplorer.org from recent open access astronomy papers. More details to come.

Task Description

The goal of the task is single-class classification. The inputs are pairs of figures, a figure and a caption, or a pair of captions. The possible classes are:

"same paper"
"different paper but related" (cited/citing)
"unrelated"
"same figure" (only for figure+caption pairs)

Contact

For inquiries, contact Felix Grezes at felix.grezes@cfa.harvard.edu

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