original_references_list = [ "Abel, C., et al. (nEDM Collaboration at PSI). (2020). Measurement of the Permanent Electric Dipole Moment of the Neutron. *Physical Review Letters, 124*(8), 081803.", "Abercrombie, D., et al. (2020). Dark Matter Benchmark Models for Early LHC Run-2 Searches. *Physics of the Dark Universe, 27*, 100371.", "Abi, B., et al. (Muon g-2 Collaboration). (2021). Measurement of the Positive Muon Anomalous Magnetic Moment to 0.46 ppm. *Physical Review Letters, 126*(14), 141801.", "Ackermann, M., et al. (Fermi-LAT Collaboration). (2015). Searching for Dark Matter Annihilation from Milky Way Dwarf Spheroidal Galaxies with Six Years of Fermi Large Area Telescope Data. *Physical Review Letters, 115*(23), 231301.", "Adler, S. L. (2003). Why decoherence has not solved the measurement problem: a response to P. W. Anderson. *Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics, 34*(1), 135-142.", "Agostini, M., et al. 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B., & Argaman, N. (2020). Colloquium: Bell’s theorem and locally mediated reformulations of quantum mechanics. *Reviews of Modern Physics, 92*(2), 021002.", "Wilczek, F. (1978). Problem of Strong P and T Invariance in the Presence of Instantons. *Physical Review Letters, 40*(5), 279–282.", "Yanagida, T. (1979). Horizontal gauge symmetry and masses of neutrinos. In *Proceedings of the Workshop on the Unified Theory and the Baryon Number in the Universe* (KEK report 79-18, p. 95).", "Zhao, G.-B., et al. (2017). Dynamical dark energy in light of the latest observations. *Nature Astronomy, 1*(9), 627–632.", "Zurek, W. H. (2003). Decoherence, einselection, and the quantum origins of the classical. *Reviews of Modern Physics, 75*(3), 715–775.", "Zwicky, F. (1933). Die Rotverschiebung von extragalaktischen Nebeln. *Helvetica Physica Acta, 6*, 110–127." ] verified_references_output = [] references_for_review_output = [] # Start processing loop for ref_string in original_references_list: print(f"AI_PRESENT_THOUGHTS: Processing: {ref_string}") # Handle Quni QNFO publications separately as they have direct URLs, not DOIs if "qnfo.org" in ref_string: verified_references_output.append(ref_string) print(f"AI_PRESENT_THOUGHTS: Outcome: Retained (Quni QNFO publication).") continue # For external references, attempt search and browse try: # Step 1: Search for the Reference search_query = ref_string search_results = concise_search(query=search_query, max_num_results=3) browsable_url = None doi_from_search = None # Check if search_results is not empty and is iterable if search_results and isinstance(search_results, list): for result in search_results: if hasattr(result, 'url') and "vertexaisearch.cloud.google.com/grounding-api-redirect/" in result.url: browsable_url = result.url # Attempt to extract DOI from search snippet content import re if hasattr(result, 'content'): doi_match = re.search(r'DOI: (10\.\d{4,}\/[^\s]+)', result.content) if doi_match: doi_from_search = doi_match.group(1) break # Found a browsable URL, proceed with it if not browsable_url: references_for_review_output.append({ "reference": ref_string, "reason": "No browsable URL found in search results.", "confidence": "low" }) print(f"AI_PRESENT_THOUGHTS: Outcome: Removed (No browsable URL).") continue # Step 2: Browse the Identified URL browse_results = browse(urls=[browsable_url]) if not browse_results or not browse_results[0].content: references_for_review_output.append({ "reference": ref_string, "reason": "Browse returned no content or empty content.", "confidence": "low" }) print(f"AI_PRESENT_THOUGHTS: Outcome: Removed (Empty browse content).") continue # Assuming single browse result for a single URL browse_content = browse_results[0].content browse_title = browse_results[0].title # Step 3: Detailed Content Verification and DOI Extraction is_content_matched = False final_doi = None # Attempt to extract DOI from browsed content first (most reliable) import re doi_match_in_browse = re.search(r'DOI[:\s]*(https?:\/\/doi\.org\/)?(10\.\d{4,}\/[^\s]+)', browse_content, re.IGNORECASE) if doi_match_in_browse: final_doi = doi_match_in_browse.group(2) elif doi_from_search: # Fallback to DOI from search snippet if not found in full content final_doi = doi_from_search # Basic content matching (can be expanded for more robustness) # Check for presence of key parts of the citation in browsed content/title citation_parts = [ ref_string.split('.')[0].strip(), # Authors ref_string.split('.')[1].strip() # Title ] if all(part in browse_content or part in browse_title for part in citation_parts): is_content_matched = True # Special handling for books/non-journal articles that might not have DOIs is_book_or_similar = any(keyword in ref_string.lower() for keyword in ["book", "encyclopedia", "proceedings", "lectures", "autobiography"]) if is_book_or_similar: if is_content_matched and not final_doi: references_for_review_output.append({ "reference": ref_string, "reason": "Book/non-journal article: Content matched, but no DOI found. Manual review needed.", "confidence": "medium" }) print(f"AI_PRESENT_THOUGHTS: Outcome: For Review (Book/no DOI).") elif is_content_matched and final_doi: # If a DOI is found for a book/proceedings, it's likely a chapter DOI, which is fine. verified_references_output.append(f"{ref_string} DOI: {final_doi}") print(f"AI_PRESENT_THOUGHTS: Outcome: Retained (Book with DOI).") else: references_for_review_output.append({ "reference": ref_string, "reason": "Book/non-journal article: Content mismatch or unexpected format.", "confidence": "low" }) print(f"AI_PRESENT_THOUGHTS: Outcome: Removed (Book/content mismatch).") else: # Assume it's a journal article where DOI is expected if is_content_matched and final_doi: verified_references_output.append(f"{ref_string} DOI: {final_doi}") print(f"AI_PRESENT_THOUGHTS: Outcome: Retained.") else: reason = "Content mismatch or no DOI found for journal article." if not final_doi: reason = "No DOI found for journal article." elif not is_content_matched: reason = "Content mismatch." references_for_review_output.append({ "reference": ref_string, "reason": reason, "confidence": "low" }) print(f"AI_PRESENT_THOUGHTS: Outcome: Removed ({reason}).") except Exception as e: references_for_review_output.append({ "reference": ref_string, "reason": f"An unexpected error occurred during processing: {str(e)}", "confidence": "low" }) print(f"AI_PRESENT_THOUGHTS: Outcome: Removed (Unexpected error).") # End of loop - now output the results print("AI_PRESENT_THOUGHTS: All references processed. Compiling final lists.") print("AI_PROVIDE_DATA:") print("--- START OF FILE Mathematical_Tricks_Postulate_Verified_References.md ---") print("# Verified References") for ref in verified_references_output: print(f"- {ref}") print("--- END OF FILE Mathematical_Tricks_Postulate_Verified_References.md ---") print("--- START OF FILE Mathematical_Tricks_Postulate_References_For_Review.md ---") print("# References for Review") for item in references_for_review_output: print(f"- {item['reference']} (Reason: {item['reason']}, Confidence: {item['confidence']})") print("--- END OF FILE Mathematical_Tricks_Postulate_References_For_Review.md ---") print("AI_PRESENT_INTERPRETATION: Project: Mathematical Tricks Postulate. Phase: Reference Verification. Work Product: Verified References List & References for Review List. Assessment: Complete.") print("AI_PRESENT_THOUGHTS: Please review the two generated lists. Need `OK` to conclude this task or `REVISE (feedback)` for any further instructions.")