final-for real

EEMLA.aux

@@ -30,12 +30,16 @@
 \abx@aux@segm{0}{0}{deepseekai2025deepseekv3technicalreport}
 \abx@aux@cite{0}{cuda_programming_guide_2025}
 \abx@aux@segm{0}{0}{cuda_programming_guide_2025}
-\abx@aux@read@bbl@mdfivesum{749C0DD7F17CD79B112234BEF9941550}
+\abx@aux@read@bbl@mdfivesum{A4BF38394F3D8B19FB0185ACC0064B31}
-\abx@aux@read@bblrerun
 \abx@aux@defaultrefcontext{0}{ahn2024largelanguagemodelsmathematical}{nty/global//global/global/global}
 \abx@aux@defaultrefcontext{0}{cobbe2021trainingverifierssolvemath}{nty/global//global/global/global}
 \abx@aux@defaultrefcontext{0}{deepseekai2025deepseekv3technicalreport}{nty/global//global/global/global}
 \abx@aux@defaultrefcontext{0}{hendrycks2021measuringmathematicalproblemsolving}{nty/global//global/global/global}
+\abx@aux@defaultrefcontext{0}{hoffmann2022trainingcomputeoptimallargelanguage}{nty/global//global/global/global}
+\abx@aux@defaultrefcontext{0}{ivanov2024}{nty/global//global/global/global}
 \abx@aux@defaultrefcontext{0}{cuda_programming_guide_2025}{nty/global//global/global/global}
+\abx@aux@defaultrefcontext{0}{app14020744}{nty/global//global/global/global}
+\abx@aux@defaultrefcontext{0}{vaswani2023attentionneed}{nty/global//global/global/global}
+\abx@aux@defaultrefcontext{0}{Wang2024}{nty/global//global/global/global}
 \xdef \mintedoldcachechecksum{\detokenize{F97D47BB20F0BD69D0F92961482F0074:10}}
 \gdef \@abspage@last{11}

EEMLA.bbl

@@ -1492,6 +1492,214 @@
       \verb arxiv.org/abs/2103.03874
       \endverb
     \endentry
+    \entry{hoffmann2022trainingcomputeoptimallargelanguage}{misc}{}{}
+      \name{author}{22}{}{%
+        {{un=0,uniquepart=base,hash=92d226c4ea870c0e9df2ceb8bf03d8ff}{%
+           family={Hoffmann},
+           familyi={H\bibinitperiod},
+           given={Jordan},
+           giveni={J\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=c28d74501d531d6672ccf4c28016c7ac}{%
+           family={Borgeaud},
+           familyi={B\bibinitperiod},
+           given={Sebastian},
+           giveni={S\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=e9a587c57b1dcb4834850800386d8aca}{%
+           family={Mensch},
+           familyi={M\bibinitperiod},
+           given={Arthur},
+           giveni={A\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=eee8c4b85d5c4e1f4bc70218d34ba69d}{%
+           family={Buchatskaya},
+           familyi={B\bibinitperiod},
+           given={Elena},
+           giveni={E\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=3d7a83ed6eb983ca17cec804631dc22e}{%
+           family={Cai},
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+           family={Rutherford},
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+           family={Las\bibnamedelima Casas},
+           familyi={L\bibinitperiod\bibinitdelim C\bibinitperiod},
+           given={Diego},
+           giveni={D\bibinitperiod},
+           givenun=0,
+           prefix={de},
+           prefixi={d\bibinitperiod}}}%
+        {{un=0,uniquepart=base,hash=68b917d11d355ed641ee448751fb3ba5}{%
+           family={Hendricks},
+           familyi={H\bibinitperiod},
+           given={Lisa\bibnamedelima Anne},
+           giveni={L\bibinitperiod\bibinitdelim A\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=7a7fdb4cb72d04e1eaa8a6a2ca0358dc}{%
+           family={Welbl},
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+        {{un=0,uniquepart=base,hash=b06242c53973106520ab19f8e1fc3799}{%
+           family={Clark},
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+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=0c1f2b1cf15f9e15216a9e652512bf6f}{%
+           family={Hennigan},
+           familyi={H\bibinitperiod},
+           given={Tom},
+           giveni={T\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=70b3914180795f8c87317cbd0599c942}{%
+           family={Noland},
+           familyi={N\bibinitperiod},
+           given={Eric},
+           giveni={E\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=da626c813aa81825001015989a23f850}{%
+           family={Millican},
+           familyi={M\bibinitperiod},
+           given={Katie},
+           giveni={K\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=54c5c572d4fdc5d822c240b59fcadad4}{%
+           family={Driessche},
+           familyi={D\bibinitperiod},
+           given={George},
+           giveni={G\bibinitperiod},
+           givenun=0,
+           prefix={van\bibnamedelima den},
+           prefixi={v\bibinitperiod\bibinitdelim d\bibinitperiod}}}%
+        {{un=0,uniquepart=base,hash=4da5c824138e58f9def8fd792b5ad94f}{%
+           family={Damoc},
+           familyi={D\bibinitperiod},
+           given={Bogdan},
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+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=8bc2c63cf1c4c6e9e4d317839dda4de2}{%
+           family={Guy},
+           familyi={G\bibinitperiod},
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+        {{un=0,uniquepart=base,hash=643f92e8f89f2746a4c1aa077d225755}{%
+           family={Osindero},
+           familyi={O\bibinitperiod},
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+        {{un=0,uniquepart=base,hash=9d16b7284df92c9adaee86c37ab992df}{%
+           family={Simonyan},
+           familyi={S\bibinitperiod},
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+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=6aa92a937d4d30dd0b5ec0eecbad1bf1}{%
+           family={Elsen},
+           familyi={E\bibinitperiod},
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+        {{un=0,uniquepart=base,hash=8dcdeb16ef3c68cf8396226668804fe0}{%
+           family={Rae},
+           familyi={R\bibinitperiod},
+           given={Jack\bibnamedelima W.},
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+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=494b568c5dc85ba8f3f409635f9c5f25}{%
+           family={Vinyals},
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+        {{un=0,uniquepart=base,hash=50d24de916599d306c5cb1a77156e4b9}{%
+           family={Sifre},
+           familyi={S\bibinitperiod},
+           given={Laurent},
+           giveni={L\bibinitperiod},
+           givenun=0}}%
+      }
+      \strng{namehash}{8be79936575bb0d5b77c96da6d2a6d52}
+      \strng{fullhash}{fb6d92421541c28738787855a47da527}
+      \strng{fullhashraw}{fb6d92421541c28738787855a47da527}
+      \strng{bibnamehash}{8be79936575bb0d5b77c96da6d2a6d52}
+      \strng{authorbibnamehash}{8be79936575bb0d5b77c96da6d2a6d52}
+      \strng{authornamehash}{8be79936575bb0d5b77c96da6d2a6d52}
+      \strng{authorfullhash}{fb6d92421541c28738787855a47da527}
+      \strng{authorfullhashraw}{fb6d92421541c28738787855a47da527}
+      \field{sortinit}{H}
+      \field{sortinithash}{23a3aa7c24e56cfa16945d55545109b5}
+      \true{singletitle}
+      \field{labelnamesource}{author}
+      \field{labeltitlesource}{title}
+      \field{eprintclass}{cs.CL}
+      \field{eprinttype}{arXiv}
+      \field{title}{Training Compute-Optimal Large Language Models}
+      \field{year}{2022}
+      \verb{eprint}
+      \verb 2203.15556
+      \endverb
+      \verb{urlraw}
+      \verb arxiv.org/abs/2203.15556
+      \endverb
+      \verb{url}
+      \verb arxiv.org/abs/2203.15556
+      \endverb
+    \endentry
+    \entry{ivanov2024}{misc}{}{}
+      \name{author}{2}{}{%
+        {{un=0,uniquepart=base,hash=1935b6f0043d4bac823842ff5d478faf}{%
+           family={Ivanov},
+           familyi={I\bibinitperiod},
+           given={Todor},
+           giveni={T\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=495d2036e580863cb79ad80a7bb2fc78}{%
+           family={Penchev},
+           familyi={P\bibinitperiod},
+           given={Valeri},
+           giveni={V\bibinitperiod},
+           givenun=0}}%
+      }
+      \strng{namehash}{259e51507bbcab245b7267c088c1998f}
+      \strng{fullhash}{259e51507bbcab245b7267c088c1998f}
+      \strng{fullhashraw}{259e51507bbcab245b7267c088c1998f}
+      \strng{bibnamehash}{259e51507bbcab245b7267c088c1998f}
+      \strng{authorbibnamehash}{259e51507bbcab245b7267c088c1998f}
+      \strng{authornamehash}{259e51507bbcab245b7267c088c1998f}
+      \strng{authorfullhash}{259e51507bbcab245b7267c088c1998f}
+      \strng{authorfullhashraw}{259e51507bbcab245b7267c088c1998f}
+      \field{sortinit}{I}
+      \field{sortinithash}{8d291c51ee89b6cd86bf5379f0b151d8}
+      \true{singletitle}
+      \field{labelnamesource}{author}
+      \field{labeltitlesource}{title}
+      \field{eprintclass}{cs.DC}
+      \field{eprinttype}{arXiv}
+      \field{title}{AI Benchmarks and Datasets for LLM Evaluation}
+      \field{year}{2024}
+      \verb{eprint}
+      \verb 2412.01020
+      \endverb
+      \verb{urlraw}
+      \verb arxiv.org/abs/2412.01020
+      \endverb
+      \verb{url}
+      \verb arxiv.org/abs/2412.01020
+      \endverb
+    \endentry
     \entry{cuda_programming_guide_2025}{misc}{}{}
       \name{author}{1}{}{%
         {{un=0,uniquepart=base,hash=a2fe9051fe051f819bd739ef3e340377}{%
@@ -1522,6 +1730,177 @@
       \verb docs.nvidia.com/cuda/cuda-c-programming-guide/
       \endverb
     \endentry
+    \entry{app14020744}{article}{}{}
+      \name{author}{1}{}{%
+        {{un=0,uniquepart=base,hash=d8c43e5429158fe51408ffa847a4a856}{%
+           family={Testolin},
+           familyi={T\bibinitperiod},
+           given={Alberto},
+           giveni={A\bibinitperiod},
+           givenun=0}}%
+      }
+      \strng{namehash}{d8c43e5429158fe51408ffa847a4a856}
+      \strng{fullhash}{d8c43e5429158fe51408ffa847a4a856}
+      \strng{fullhashraw}{d8c43e5429158fe51408ffa847a4a856}
+      \strng{bibnamehash}{d8c43e5429158fe51408ffa847a4a856}
+      \strng{authorbibnamehash}{d8c43e5429158fe51408ffa847a4a856}
+      \strng{authornamehash}{d8c43e5429158fe51408ffa847a4a856}
+      \strng{authorfullhash}{d8c43e5429158fe51408ffa847a4a856}
+      \strng{authorfullhashraw}{d8c43e5429158fe51408ffa847a4a856}
+      \field{sortinit}{T}
+      \field{sortinithash}{9af77f0292593c26bde9a56e688eaee9}
+      \true{singletitle}
+      \field{labelnamesource}{author}
+      \field{labeltitlesource}{title}
+      \field{abstract}{Creating learning models that can exhibit sophisticated reasoning abilities is one of the greatest challenges in deep learning research, and mathematics is rapidly becoming one of the target domains for assessing scientific progress in this direction. In the past few years there has been an explosion of neural network architectures, datasets, and benchmarks specifically designed to tackle mathematical problems, reporting impressive achievements in disparate fields such as automated theorem proving, numerical integration, and the discovery of new conjectures or matrix multiplication algorithms. However, despite this notable success it is still unclear whether deep learning models possess an elementary understanding of quantities and numbers. This survey critically examines the recent literature, concluding that even state-of-the-art architectures and large language models often fall short when probed with relatively simple tasks designed to test basic numerical and arithmetic knowledge.}
+      \field{issn}{2076-3417}
+      \field{journaltitle}{Applied Sciences}
+      \field{number}{2}
+      \field{title}{Can Neural Networks Do Arithmetic? A Survey on the Elementary Numerical Skills of State-of-the-Art Deep Learning Models}
+      \field{volume}{14}
+      \field{year}{2024}
+      \verb{doi}
+      \verb 10.3390/app14020744
+      \endverb
+    \endentry
+    \entry{vaswani2023attentionneed}{misc}{}{}
+      \name{author}{8}{}{%
+        {{un=0,uniquepart=base,hash=7f28e84700536646dd6620a0db07ad09}{%
+           family={Vaswani},
+           familyi={V\bibinitperiod},
+           given={Ashish},
+           giveni={A\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=62efade83d70f0323fe248755e6c90c5}{%
+           family={Shazeer},
+           familyi={S\bibinitperiod},
+           given={Noam},
+           giveni={N\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=06649ebab1ea5cac0250746a19764975}{%
+           family={Parmar},
+           familyi={P\bibinitperiod},
+           given={Niki},
+           giveni={N\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=831027ee0ebf22375e2a86afc1881909}{%
+           family={Uszkoreit},
+           familyi={U\bibinitperiod},
+           given={Jakob},
+           giveni={J\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=2fd2982e30ebcec93ec1cf76e0d797fd}{%
+           family={Jones},
+           familyi={J\bibinitperiod},
+           given={Llion},
+           giveni={L\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=27b07e4eacbf4ef7a1438e3badb7dd8d}{%
+           family={Gomez},
+           familyi={G\bibinitperiod},
+           given={Aidan\bibnamedelima N.},
+           giveni={A\bibinitperiod\bibinitdelim N\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=f2bc899b1160163417da7bf510f15d33}{%
+           family={Kaiser},
+           familyi={K\bibinitperiod},
+           given={Lukasz},
+           giveni={L\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=95595a0fefb86187cbc36e551017d332}{%
+           family={Polosukhin},
+           familyi={P\bibinitperiod},
+           given={Illia},
+           giveni={I\bibinitperiod},
+           givenun=0}}%
+      }
+      \strng{namehash}{ee273ab30cfb889666f8c4d806eb9ce7}
+      \strng{fullhash}{f82970bbd2bdd7a002d2af62b743d5cc}
+      \strng{fullhashraw}{f82970bbd2bdd7a002d2af62b743d5cc}
+      \strng{bibnamehash}{ee273ab30cfb889666f8c4d806eb9ce7}
+      \strng{authorbibnamehash}{ee273ab30cfb889666f8c4d806eb9ce7}
+      \strng{authornamehash}{ee273ab30cfb889666f8c4d806eb9ce7}
+      \strng{authorfullhash}{f82970bbd2bdd7a002d2af62b743d5cc}
+      \strng{authorfullhashraw}{f82970bbd2bdd7a002d2af62b743d5cc}
+      \field{sortinit}{V}
+      \field{sortinithash}{afb52128e5b4dc4b843768c0113d673b}
+      \true{singletitle}
+      \field{labelnamesource}{author}
+      \field{labeltitlesource}{title}
+      \field{eprintclass}{cs.CL}
+      \field{eprinttype}{arXiv}
+      \field{title}{Attention Is All You Need}
+      \field{year}{2023}
+      \verb{eprint}
+      \verb 1706.03762
+      \endverb
+      \verb{urlraw}
+      \verb arxiv.org/abs/1706.03762
+      \endverb
+      \verb{url}
+      \verb arxiv.org/abs/1706.03762
+      \endverb
+    \endentry
+    \entry{Wang2024}{article}{}{}
+      \name{author}{6}{}{%
+        {{un=0,uniquepart=base,hash=7cca10cee48e9c197439e4af610acfe5}{%
+           family={Wang},
+           familyi={W\bibinitperiod},
+           given={Zichong},
+           giveni={Z\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=bc41c1f771e246b6d8ce744badb182e3}{%
+           family={Chu},
+           familyi={C\bibinitperiod},
+           given={Zhibo},
+           giveni={Z\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=82b0035db67db8bd400c34e8a5eec07b}{%
+           family={Doan},
+           familyi={D\bibinitperiod},
+           given={Thang\bibnamedelima Viet},
+           giveni={T\bibinitperiod\bibinitdelim V\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=852b650254c75a15c1024df13b29189c}{%
+           family={Ni},
+           familyi={N\bibinitperiod},
+           given={Shiwen},
+           giveni={S\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=feb96ca112c179e320db2db693e022b8}{%
+           family={Yang},
+           familyi={Y\bibinitperiod},
+           given={Min},
+           giveni={M\bibinitperiod},
+           givenun=0}}%
+        {{un=0,uniquepart=base,hash=dd4baede28b306ab6d37dd79d89a935b}{%
+           family={Zhang},
+           familyi={Z\bibinitperiod},
+           given={Wenbin},
+           giveni={W\bibinitperiod},
+           givenun=0}}%
+      }
+      \strng{namehash}{1c3e58e991d8f7a6ae5aee1e95c5cd8a}
+      \strng{fullhash}{391aec39c1c26e8d5e7517c1ab227456}
+      \strng{fullhashraw}{391aec39c1c26e8d5e7517c1ab227456}
+      \strng{bibnamehash}{1c3e58e991d8f7a6ae5aee1e95c5cd8a}
+      \strng{authorbibnamehash}{1c3e58e991d8f7a6ae5aee1e95c5cd8a}
+      \strng{authornamehash}{1c3e58e991d8f7a6ae5aee1e95c5cd8a}
+      \strng{authorfullhash}{391aec39c1c26e8d5e7517c1ab227456}
+      \strng{authorfullhashraw}{391aec39c1c26e8d5e7517c1ab227456}
+      \field{sortinit}{W}
+      \field{sortinithash}{4315d78024d0cea9b57a0c6f0e35ed0d}
+      \true{singletitle}
+      \field{labelnamesource}{author}
+      \field{labeltitlesource}{title}
+      \field{journaltitle}{AI and Ethics}
+      \field{month}{10}
+      \field{title}{History, development, and principles of large language models: An introductory survey}
+      \field{year}{2024}
+      \verb{doi}
+      \verb 10.1007/s43681-024-00583-7
+      \endverb
+    \endentry
   \enddatalist
 \endrefsection
 \endinput

EEMLA.blg

@@ -1,17 +1,18 @@
 [0] Config.pm:308> INFO - This is Biber 2.20
 [0] Config.pm:311> INFO - Logfile is 'EEMLA.blg'
-[40] biber:340> INFO - === Wed Apr 30, 2025, 01:13:30
+[40] biber:340> INFO - === Wed Apr 30, 2025, 01:14:10
-[47] Biber.pm:420> INFO - Reading 'EEMLA.bcf'
+[48] Biber.pm:420> INFO - Reading 'EEMLA.bcf'
-[82] Biber.pm:994> INFO - Found 5 citekeys in bib section 0
+[85] Biber.pm:994> INFO - Found 10 citekeys in bib section 0
-[90] Biber.pm:4463> INFO - Processing section 0
+[93] Biber.pm:4463> INFO - Processing section 0
-[94] Biber.pm:4654> INFO - Looking for bibtex file 'references.bib' for section 0
+[98] Biber.pm:4654> INFO - Looking for bibtex file 'references.bib' for section 0
-[95] bibtex.pm:1713> INFO - LaTeX decoding ...
+[98] bibtex.pm:1713> INFO - LaTeX decoding ...
-[99] bibtex.pm:1519> INFO - Found BibTeX data source 'references.bib'
+[102] bibtex.pm:1519> INFO - Found BibTeX data source 'references.bib'
-[281] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'variable = shifted' with 'variable = non-ignorable'
+[321] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'normalization = NFD' with 'normalization = prenormalized'
-[281] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'normalization = NFD' with 'normalization = prenormalized'
+[321] UCollate.pm:68> INFO - Overriding locale 'en-US' defaults 'variable = shifted' with 'variable = non-ignorable'
-[281] Biber.pm:4283> INFO - Sorting list 'nty/global//global/global/global' of type 'entry' with template 'nty' and locale 'en-US'
+[321] Biber.pm:4283> INFO - Sorting list 'nty/global//global/global/global' of type 'entry' with template 'nty' and locale 'en-US'
-[281] Biber.pm:4289> INFO - No sort tailoring available for locale 'en-US'
+[321] Biber.pm:4289> INFO - No sort tailoring available for locale 'en-US'
-[289] bbl.pm:676> INFO - Writing 'EEMLA.bbl' with encoding 'UTF-8'
+[332] bbl.pm:676> INFO - Writing 'EEMLA.bbl' with encoding 'UTF-8'
-[326] bbl.pm:779> INFO - Output to EEMLA.bbl
+[372] bbl.pm:779> INFO - Output to EEMLA.bbl
-[326] Biber.pm:131> WARN - legacy month field 'Feb' in entry 'cuda_programming_guide_2025' is not an integer - this will probably not sort properly.
+[372] Biber.pm:131> WARN - legacy month field 'Oct' in entry 'Wang2024' is not an integer - this will probably not sort properly.
-[326] Biber.pm:133> INFO - WARNINGS: 1
+[372] Biber.pm:131> WARN - legacy month field 'Feb' in entry 'cuda_programming_guide_2025' is not an integer - this will probably not sort properly.
+[372] Biber.pm:133> INFO - WARNINGS: 2

EEMLA.log

@@ -1,4 +1,4 @@
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+This is pdfTeX, Version 3.141592653-2.6-1.40.27 (TeX Live 2026/dev/Arch Linux) (preloaded format=pdflatex 2025.4.29)  30 APR 2025 01:14
 entering extended mode
  \write18 enabled.
  %&-line parsing enabled.
@@ -714,10 +714,6 @@ File: epstopdf-sys.cfg 2010/07/13 v1.3 Configuration of (r)epstopdf for TeX Liv
 e
 ))
 
-LaTeX Warning: Citation 'app14020744' on page 1 undefined on input line 81.
-
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-
 
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 (fancyhdr)                Make it at least 14.49998pt, for example:
@@ -730,17 +726,6 @@ ts/enc/dvips/base/8r.enc}
 
 ]
 
-LaTeX Warning: Citation 'Wang2024' on page 2 undefined on input line 91.
-
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-LaTeX Warning: Citation 'vaswani2023attentionneed' on page 2 undefined on input
- line 91.
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-LaTeX Warning: Citation 'Wang2024' on page 2 undefined on input line 93.
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 (fancyhdr)                Make it at least 14.49998pt, for example:
@@ -750,13 +735,6 @@ Package fancyhdr Warning: \headheight is too small (12.0pt):
 
 [2]
 
-LaTeX Warning: Citation 'ivanov2024' on page 3 undefined on input line 105.
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-LaTeX Warning: Citation 'ivanov2024' on page 3 undefined on input line 105.
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 (fancyhdr)                Make it at least 14.49998pt, for example:
@@ -766,15 +744,6 @@ Package fancyhdr Warning: \headheight is too small (12.0pt):
 
 [3]
 
-LaTeX Warning: Citation 'hoffmann2022trainingcomputeoptimallargelanguage' on pa
-ge 4 undefined on input line 107.
-
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-LaTeX Warning: Citation 'hoffmann2022trainingcomputeoptimallargelanguage' on pa
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 (fancyhdr)                Make it at least 14.49998pt, for example:
@@ -834,11 +803,11 @@ Package fancyhdr Warning: \headheight is too small (12.0pt):
 \pydata@fh@_EEE4DC88718EF2B9D35BC605B86C9E60.data.minted=\write6
 \openout6 = `_EEE4DC88718EF2B9D35BC605B86C9E60.data.minted'.
 
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+runsystem(latexminted config  --timestamp 20250430011413 EEE4DC88718EF2B9D35BC6
 05B86C9E60)...executed.
 
  (./_EEE4DC88718EF2B9D35BC605B86C9E60.config.minted)
-runsystem(latexminted cleanconfig  --timestamp 20250430011332 EEE4DC88718EF2B9D
+runsystem(latexminted cleanconfig  --timestamp 20250430011413 EEE4DC88718EF2B9D
 35BC605B86C9E60)...executed.
 
 
@@ -916,25 +885,16 @@ Package fancyhdr Warning: \headheight is too small (12.0pt):
 LaTeX2e <2024-11-01> patch level 2
 L3 programming layer <2025-01-18>
  ***********
-
-
-LaTeX Warning: There were undefined references.
-
-
-Package biblatex Warning: Please (re)run Biber on the file:
-(biblatex)                EEMLA
-(biblatex)                and rerun LaTeX afterwards.
-
 Package logreq Info: Writing requests to 'EEMLA.run.xml'.
 \openout1 = `EEMLA.run.xml'.
 
  )
 (\end occurred when \ifx on line 211 was incomplete) 
 Here is how much of TeX's memory you used:
- 17040 strings out of 475171
+ 17076 strings out of 475171
- 360440 string characters out of 5767095
+ 362098 string characters out of 5767095
- 1349083 words of memory out of 5000000
+ 1349253 words of memory out of 5000000
- 39798 multiletter control sequences out of 15000+600000
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  14 hyphenation exceptions out of 8191
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-Output written on EEMLA.pdf (11 pages, 162867 bytes).
+Output written on EEMLA.pdf (11 pages, 162890 bytes).
 PDF statistics:
  106 PDF objects out of 1000 (max. 8388607)
  66 compressed objects within 1 object stream

EEMLA.run.xml

@@ -41,7 +41,7 @@
   >
 ]>
 <requests version="1.0">
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       <file>EEMLA.bcf</file>
@@ -64,7 +64,7 @@
       <file>english-mla.lbx</file>
     </requires>
   </internal>
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+  <external package="biblatex" priority="5" active="0">
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