Paper Citation Record · LEDGER

Reasoning Bias of Next Token Prediction Training

As of 10 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 1 inbound Pith citation observation for arXiv:2502.02007.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.02007 v2

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:46:43.619470Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:50:43.217179Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

67 of 67 outbound references displayed

verified exact5
verified fuzzy23
unresolved39
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 908f4876-0b39-4468-b68b-25e6da6230ad · outbound

This paper cites Phi-4 Technical Report.

Reasoning Bias of Next Token Prediction Training Phi-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.282422Z

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Observation 0bc3db89-9f45-4529-a4eb-512b5c8a79a6 · outbound

This paper cites and Nagarajan, V.

Reasoning Bias of Next Token Prediction Training and Nagarajan, V

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.818716Z

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Observation 5a091145-20fd-4987-a9f7-37a6a77efe5d · outbound

This paper cites and Giryes, R.

Reasoning Bias of Next Token Prediction Training and Giryes, R

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.803082Z

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Observation 54745b23-35fb-4dec-9396-4dc895cbfc58 · outbound

This paper cites Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation.

Reasoning Bias of Next Token Prediction Training Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation

Reference 4

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Observation b0fb012e-f872-44c1-b650-21a26278852c · outbound

This paper cites Understanding robustness of transformers for image classification.

Reasoning Bias of Next Token Prediction Training Understanding robustness of transformers for image classification

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.786239Z

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Observation b1e68e2b-b26c-43cb-b507-2af169b07173 · outbound

This paper cites R., Angeli, G., Potts, C., and Manning, C.

Reasoning Bias of Next Token Prediction Training R., Angeli, G., Potts, C., and Manning, C

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.310512Z

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Observation 64acb6d5-312d-4437-a06c-2ecbe4500664 · outbound

This paper cites Language Models are Few-Shot Learners.

Reasoning Bias of Next Token Prediction Training Language Models are Few-Shot Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.316250Z

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Observation 26d82bc1-9b13-477a-b139-85f4720360ab · outbound

This paper cites Dropout as a low-rank regularizer for matrix factorization.

Reasoning Bias of Next Token Prediction Training Dropout as a low-rank regularizer for matrix factorization

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.770532Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 72c42146-f7ca-464b-8eeb-13a91c8e4e1c · outbound

This paper cites Transformers as soft reasoners over language.

Reasoning Bias of Next Token Prediction Training Transformers as soft reasoners over language

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.326651Z

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Observation e1d7fe60-f30a-416f-a531-3f5520c0b2ca · outbound

This paper cites From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step.

Reasoning Bias of Next Token Prediction Training From Explicit CoT to Implicit CoT: Learning to Internalize CoT Step by Step

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.331535Z

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Observation ec8fa746-963f-4ee2-a080-7addc029617f · outbound

This paper cites Reducing Transformer Depth on Demand with Structured Dropout.

Reasoning Bias of Next Token Prediction Training Reducing Transformer Depth on Demand with Structured Dropout

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.336880Z

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Observation b3ed6204-64b0-475a-99a1-9b58e512403f · outbound

This paper cites and Tu, Y.

Reasoning Bias of Next Token Prediction Training and Tu, Y

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.754241Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 004c79a9-e648-4a5a-9026-951e34de47d9 · outbound

This paper cites Y., Roziere, B., Lopez-Paz, D., and Synnaeve, G.

Reasoning Bias of Next Token Prediction Training Y., Roziere, B., Lopez-Paz, D., and Synnaeve, G

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.739085Z

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Observation dcf418dc-aec7-462a-a395-17c6feb2b8d6 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Reasoning Bias of Next Token Prediction Training Training Large Language Models to Reason in a Continuous Latent Space

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.351846Z

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Observation 0373d6dc-8f9b-411e-b6a5-e400175c010a · outbound

This paper cites A Law of Next-Token Prediction in Large Language Models.

Reasoning Bias of Next Token Prediction Training A Law of Next-Token Prediction in Large Language Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:46:44.306519Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5889224b-91c3-4f62-977f-ef673b0eab86 · outbound

This paper cites What Matters in Transformers? Not All Attention is Needed.

Reasoning Bias of Next Token Prediction Training What Matters in Transformers? Not All Attention is Needed

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.362438Z

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Observation 42335d35-d8bc-4683-8f70-55e86a492a40 · outbound

This paper cites Pretrained transformers improve out-of-distribution robustness.

Reasoning Bias of Next Token Prediction Training Pretrained transformers improve out-of-distribution robustness

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.367522Z

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Observation 80767613-99e7-4bfa-9773-0c646eae34da · outbound

This paper cites and Schmidhuber, J.

Reasoning Bias of Next Token Prediction Training and Schmidhuber, J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.724058Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d3608fce-dd3f-4a81-94ca-1d129db31b3e · outbound

This paper cites NEFTune: Noisy Embeddings Improve Instruction Finetuning.

Reasoning Bias of Next Token Prediction Training NEFTune: Noisy Embeddings Improve Instruction Finetuning

Reference 19

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Observation fdeedeed-ec45-46a3-90c1-5753574ac00b · outbound

This paper cites S., Mudigere, D., Nocedal, J., Smelyanskiy, M., and Tang, P.

Reasoning Bias of Next Token Prediction Training S., Mudigere, D., Nocedal, J., Smelyanskiy, M., and Tang, P

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.383548Z

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Observation d34e9dcb-e86e-48a9-8da7-8b7bdf6dbfce · outbound

This paper cites N., Hellmann, S., Morsey, M., Van Kleef, P., Auer, S., et al.

Reasoning Bias of Next Token Prediction Training N., Hellmann, S., Morsey, M., Van Kleef, P., Auer, S., et al

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.697997Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0bf94c7-c237-48c6-9fb2-05d1b59d2d50 · outbound

This paper cites J., Xing, E., and Caruana, R.

Reasoning Bias of Next Token Prediction Training J., Xing, E., and Caruana, R

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.681991Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 599dc58c-32e0-4abc-9f01-e43c660afdad · outbound

This paper cites DropKey.

Reasoning Bias of Next Token Prediction Training DropKey

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.398762Z

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Observation 045c0bc8-f000-49af-bbff-6e95ce11acf6 · outbound

This paper cites Challenging large language models with new tasks: A study on their adaptability and robustness.

Reasoning Bias of Next Token Prediction Training Challenging large language models with new tasks: A study on their adaptability and robustness

Reference 24

Resolution: verified exact; doi, observed 2026-08-09T13:46:43.800168Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce9ae42e-ea01-4df8-91f7-653a262e3cbd · outbound

This paper cites Visualizing the loss landscape of neural nets.

Reasoning Bias of Next Token Prediction Training Visualizing the loss landscape of neural nets

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.665175Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71f357b0-9897-4fb4-9bc3-24524f166e75 · outbound

This paper cites E., Singh Rawat, A., and Oymak, S.

Reasoning Bias of Next Token Prediction Training E., Singh Rawat, A., and Oymak, S

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.648043Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 638fbb91-2244-4cfb-bbf0-bd7c71d5aa05 · outbound

This paper cites Rho-1: Not All Tokens Are What You Need.

Reasoning Bias of Next Token Prediction Training Rho-1: Not All Tokens Are What You Need

Reference 27

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Observation bb035bc5-c676-4945-be4e-7ed6c8263df2 · outbound

This paper cites M., Li, Z., and Ma, T.

Reasoning Bias of Next Token Prediction Training M., Li, Z., and Ma, T

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.632706Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 405bb9c5-4ebb-4351-829a-b8ec1772e82f · outbound

This paper cites and Ying, L.

Reasoning Bias of Next Token Prediction Training and Ying, L

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.616824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2ea55aa7-4095-49a2-8ac6-d49fba158f4d · outbound

This paper cites Next-token prediction capacity: general upper bounds and a lower bound for transformers, 2024.

Reasoning Bias of Next Token Prediction Training Next-token prediction capacity: general upper bounds and a lower bound for transformers, 2024

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.433208Z

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Observation 3f18b2ec-3d31-4193-9860-5a52fe1ae1bb · outbound

This paper cites On the implicit bias of dropout.

Reasoning Bias of Next Token Prediction Training On the implicit bias of dropout

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.601307Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53d00bd4-9b33-4657-b951-5a431f8cafe1 · outbound

This paper cites Pretrained Transformers Do not Always Improve Robustness.

Reasoning Bias of Next Token Prediction Training Pretrained Transformers Do not Always Improve Robustness

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-09T13:46:44.127239Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 128a33fd-553f-42f0-a89e-e447c3a3bb11 · outbound

This paper cites and Samwald, M.

Reasoning Bias of Next Token Prediction Training and Samwald, M

Reference 33

Resolution: verified exact; doi, observed 2026-08-09T13:46:43.783504Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 79db3ce0-125d-490e-9828-df83de123781 · outbound

This paper cites Power-law escape rate of SGD.

Reasoning Bias of Next Token Prediction Training Power-law escape rate of SGD

Reference 34

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Observation 36c2b9ac-3e90-46a9-8e47-10777162b5a6 · outbound

This paper cites LogicInference: A New Dataset for Teaching Logical Inference to seq2seq Models.

Reasoning Bias of Next Token Prediction Training LogicInference: A New Dataset for Teaching Logical Inference to seq2seq Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.459652Z

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Observation 991996d3-8a7c-4857-b014-46ed8f8781cc · outbound

This paper cites and Narasimhan, K.

Reasoning Bias of Next Token Prediction Training and Narasimhan, K

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.584285Z

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Observation 7cbfafc1-b7aa-4038-b36f-4521b0666e6d · outbound

This paper cites Language models are unsupervised multitask learners.

Reasoning Bias of Next Token Prediction Training Language models are unsupervised multitask learners

Reference 37

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Observation d24bcdc6-d40d-449b-b2bd-fdd6d1898055 · outbound

This paper cites R obust LR : A diagnostic benchmark for evaluating logical robustness of deductive reasoners.

Reasoning Bias of Next Token Prediction Training R obust LR : A diagnostic benchmark for evaluating logical robustness of deductive reasoners

Reference 38

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Observation 1242e8b6-90c7-41f1-a5a8-e94f5255b8ed · outbound

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Reasoning Bias of Next Token Prediction Training and He, H

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.479930Z

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Observation e0def47a-ad1f-4840-9711-164b47e0c829 · outbound

This paper cites Stepgame: A new benchmark for robust multi-hop spatial reasoning in texts.

Reasoning Bias of Next Token Prediction Training Stepgame: A new benchmark for robust multi-hop spatial reasoning in texts

Reference 40

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Observation 03ca9248-61bf-40b2-8d41-56918fad7417 · outbound

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Reasoning Bias of Next Token Prediction Training Unresolved cited work

Reference 41

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Observation 50ab1b23-a4ab-427b-86b2-c90363ac2245 · outbound

This paper cites P roof W riter: Generating implications, proofs, and abductive statements over natural language.

Reasoning Bias of Next Token Prediction Training P roof W riter: Generating implications, proofs, and abductive statements over natural language

Reference 42

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Observation 2d6c2844-7d4b-412d-b39f-f2f929cb2d8d · outbound

This paper cites Memorisation versus generalisation in pre-trained language models.

Reasoning Bias of Next Token Prediction Training Memorisation versus generalisation in pre-trained language models

Reference 43

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Observation 4d0b59b2-752d-417e-a8e7-4396418c8023 · outbound

This paper cites Implicit optimization bias of next-token prediction in linear models.

Reasoning Bias of Next Token Prediction Training Implicit optimization bias of next-token prediction in linear models

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.547038Z

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Observation 9104245d-a585-445a-9e04-f9e73cdc3f99 · outbound

This paper cites An empirical study on robustness to spurious correlations using pre-trained language models.

Reasoning Bias of Next Token Prediction Training An empirical study on robustness to spurious correlations using pre-trained language models

Reference 45

Resolution: verified exact; doi, observed 2026-08-09T13:46:43.713990Z

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Observation 4d3139d1-8c38-47b7-a762-b88b682e82df · outbound

This paper cites L ogic A sker: Evaluating and improving the logical reasoning ability of large language models.

Reasoning Bias of Next Token Prediction Training L ogic A sker: Evaluating and improving the logical reasoning ability of large language models

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.514920Z

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This paper cites Are large language models really robust to word-level perturbations? In Socially Responsible Language Modelling Research, 2023.

Reasoning Bias of Next Token Prediction Training Are large language models really robust to word-level perturbations? In Socially Responsible Language Modelling Research, 2023

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.529595Z

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This paper cites The implicit and explicit regularization effects of dropout.

Reasoning Bias of Next Token Prediction Training The implicit and explicit regularization effects of dropout

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.513937Z

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Observation 0448aee8-c29c-46bb-825d-985cba3b0ada · outbound

This paper cites Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks.

Reasoning Bias of Next Token Prediction Training Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Reference 49

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Observation 7fcd35b3-2ada-4779-b3dc-6ee73103d0c0 · outbound

This paper cites On the noisy gradient descent that generalizes as sgd.

Reasoning Bias of Next Token Prediction Training On the noisy gradient descent that generalizes as sgd

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.496363Z

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Observation 21ebed3d-a2d9-431a-a33c-299eba61061f · outbound

This paper cites How sgd selects the global minima in over-parameterized learning: A dynamical stability perspective.

Reasoning Bias of Next Token Prediction Training How sgd selects the global minima in over-parameterized learning: A dynamical stability perspective

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.480659Z

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Observation e45537e8-832f-4ceb-9a8b-bfad031b41e3 · outbound

This paper cites UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost.

Reasoning Bias of Next Token Prediction Training UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.544075Z

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Observation 87d8e884-4966-49fa-aae4-9ba4027f9c3c · outbound

This paper cites D., and Potts, C.

Reasoning Bias of Next Token Prediction Training D., and Potts, C

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.549000Z

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Observation 93be4192-acd6-4e66-9346-1ba25f5a8a5f · outbound

This paper cites A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima.

Reasoning Bias of Next Token Prediction Training A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.554031Z

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Observation ef9ae870-53ef-4629-90b6-895e2c03ed87 · outbound

This paper cites URL http://www.yelp.com/ dataset_challenge.

Reasoning Bias of Next Token Prediction Training URL http://www.yelp.com/ dataset_challenge

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.465135Z

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Observation ffb8e00d-fa33-4783-b3d8-65f358a901f5 · outbound

This paper cites InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning.

Reasoning Bias of Next Token Prediction Training InternLM-Math: Open Math Large Language Models Toward Verifiable Reasoning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.563724Z

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Observation c837e3f2-6754-489a-a334-e4e3b937e06f · outbound

This paper cites Natural language reasoning, a survey.

Reasoning Bias of Next Token Prediction Training Natural language reasoning, a survey

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.568890Z

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Observation 7752d722-275c-47e2-a23a-c363ea5c1b53 · outbound

This paper cites DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks.

Reasoning Bias of Next Token Prediction Training DropAttention: A Regularization Method for Fully-Connected Self-Attention Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.573794Z

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Observation 3b913036-4a56-4b15-87c9-92fa484ac6e2 · outbound

This paper cites Dropdim: A regularization method for transformer networks.

Reasoning Bias of Next Token Prediction Training Dropdim: A regularization method for transformer networks

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.579115Z

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Observation 74d55690-5c9c-4951-b325-91bfac772083 · outbound

This paper cites H., Meng, T., Chang, K.-W., and Van den Broeck, G.

Reasoning Bias of Next Token Prediction Training H., Meng, T., Chang, K.-W., and Van den Broeck, G

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.583817Z

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Observation 33ebdccc-6c5d-42b1-8b4f-0d681e7bd3f0 · outbound

This paper cites and Xu, Z.-Q.

Reasoning Bias of Next Token Prediction Training and Xu, Z.-Q

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.588944Z

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Observation f61a50ba-e91a-4684-979c-b1dcc1ae298b · outbound

This paper cites Stochastic Modified Equations and Dynamics of Dropout Algorithm.

Reasoning Bias of Next Token Prediction Training Stochastic Modified Equations and Dynamics of Dropout Algorithm

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.594201Z

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Observation 98a53005-a589-4721-9d72-b65c5d036bc9 · outbound

This paper cites Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing.

Reasoning Bias of Next Token Prediction Training Initialization is Critical to Whether Transformers Fit Composite Functions by Reasoning or Memorizing

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.599362Z

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Observation bc20519d-1dad-4b65-ae7c-c7d1f8a0e807 · outbound

This paper cites Anchor function: a type of benchmark functions for studying language models.

Reasoning Bias of Next Token Prediction Training Anchor function: a type of benchmark functions for studying language models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.604752Z

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Observation ddbdd9be-60e5-4cbb-8e00-b098c371f2df · outbound

This paper cites Implicit geometry of next-token prediction: From language sparsity patterns to model representations.

Reasoning Bias of Next Token Prediction Training Implicit geometry of next-token prediction: From language sparsity patterns to model representations

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.440791Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9675f5f-907b-4fcc-814f-96896e1c0ded · outbound

This paper cites Scheduled D rop H ead: A regularization method for transformer models.

Reasoning Bias of Next Token Prediction Training Scheduled D rop H ead: A regularization method for transformer models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-09T13:46:43.614551Z

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Observation 30af6bad-2d3a-4fcf-9b1f-dc57d4457767 · outbound

This paper cites The anisotropic noise in stochastic gradient descent: Its behavior of escaping from sharp minima and regularization effects.

Reasoning Bias of Next Token Prediction Training The anisotropic noise in stochastic gradient descent: Its behavior of escaping from sharp minima and regularization effects

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T13:46:44.424735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 291098ac-6303-4e3b-9c1c-f6473047bec8 · inbound

Weight-norm Criticality: A Mechanism for Loss Spikes Induced by the Normalization and Weight Decay cites this paper.

Weight-norm Criticality: A Mechanism for Loss Spikes Induced by the Normalization and Weight Decay Reasoning Bias of Next Token Prediction Training

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T08:50:43.217179Z

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