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Data Models

The data models can be found in data.py as Pydantic BaseModels.

Paper

Attribute Type Explanation
Basic Paper Info
title str The title of the paper.
authors list[str] A list of authors of the paper.
abstract str | None The abstract of the paper (optional).
summary str | None A summary of the paper (optional).
ID's
paperhash str A unique hash identifier for the paper. (last_name_first_author|title)
arxiv_id str | None The arXiv ID of the paper (optional).
s2_corpus_id str | None The Semantic Scholar (S2) corpus ID of the paper (optional).
OpenReview Metadata
field_of_study list[str] | str | None The field(s) of study the paper belongs to (optional).
venue str | None The venue where the paper was published (optional).
publication_date str | None The publication date of the paper (optional).
Semantic Scholar Metadata
n_references int | None The number of references in the paper (optional).
n_citations int | None The number of citations the paper has received (optional).
n_influential_citations int | None The number of influential citations the paper has received (optional).
external_ids dict | None External IDs associated with the paper (optional).
Content
parsed_pdf dict | None Parsed PDF content of the paper (optional).
structured_content dict[str, Section] Structured content of the paper, organized by sections.
Review Data
decision bool | None The decision on the paper (e.g., accepted/rejected) (optional).
decision_text str | None The text explaining the decision (optional).
reviews list[Review] | None A list of reviews for the paper (optional).
comments list[Comment] | None A list of comments on the paper (optional).
References
references list[Reference] | None A list of references cited in the paper (optional).
section_name2section dict A mapping of section names to their corresponding sections.
bibref2section dict A mapping of bibliography references to their corresponding sections.
bibref2paperhash dict A mapping of bibliography references to their corresponding paper hashes.
Hypothesis
hypothesis str | None The hypothesis proposed in the paper annotated via an LLM (optional).
License
license str | None The license attached to the submission. None means no license found.

Review

Attribute Type Explanation
review_id str A unique identifier for the review.
review TextReview The content of the review, represented by the TextReview model.
score float | None The overall score given by the reviewer (optional).
confidence float | None The reviewer's confidence in their assessment (optional).
novelty float | None The novelty score of the paper (optional).
correctness float | None The correctness score of the paper (optional).
clarity float | None The clarity score of the paper (optional).
impact float | None The impact score of the paper (optional).
reproducibility float | None The reproducibility score of the paper (optional).
ethics str | None Ethical considerations noted by the reviewer (optional).

TextReview

Attribute Type Explanation
title str | None The title of the review (optional).
paper_summary str | None A summary of the paper being reviewed (optional).
main_review str | None The main content of the review (optional).
strength_weakness str | None A section discussing the strengths and weaknesses of the paper (optional).
questions str | None Questions raised by the reviewer (optional).
limitations str | None Limitations of the paper as noted by the reviewer (optional).
review_summary str | None A summary of the review (optional).

Comment

Attribute Type Explanation
title str | None The title of the comment (optional).
comment str The content of the comment.

Reference

Attribute Type Explanation
Basic Paper Info
title str The title of the referenced paper.
abstract str The abstract of the referenced paper (default is an empty string).
authors list[str] A list of authors of the referenced paper.
IDs
arxiv_id str | None The arXiv ID of the referenced paper (optional, default is an empty string).
s2_corpus_id str | None The Semantic Scholar (S2) corpus ID of the referenced paper (optional, default is an empty string).
external_ids dict | None External IDs associated with the referenced paper (optional, default is an empty dictionary).
Reference Specific Info
intents list[str] | None The intents or purposes of the reference (optional).
isInfluential bool | None Indicates whether the reference is influential (optional).