Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T02:17:22.722321Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2607.25063.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T02:17:22.722321Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
55 of 55 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a017cda5-df0e-40e7-9b51-eda191ef9aba · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Scaling Laws for Neural Language Models
Reference 1
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Observation 7de6ca48-fc67-445d-8173-cb625a657973 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Advances in neural information processing systems , volume=
Reference 2
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Observation 693794e0-756c-4284-a3d8-8c0678bbc84a · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Reference 3
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Observation bf9bec91-edea-45d5-9941-18fcb656d76e · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT International conference on machine learning , pages=
Reference 4
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Observation 8b98aae2-1e74-45c2-a202-1237ec16531a · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Unresolved cited work
Reference 5
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Observation 0663d43e-6a84-438b-b175-2ebe0d253d4d · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT International Conference on Learning Representations , volume=
Reference 6
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Observation ef26de6e-c347-48c1-913b-295a52725e6a · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Unresolved cited work
Reference 7
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Observation 4430bee9-30df-4c1b-ab24-b7868f5468b4 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT arXiv preprint arXiv:2603.16177 , year=
Reference 8
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Observation 2ca4cca7-6143-43b7-9043-b1af18142371 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Early Data Exposure Improves Robustness to Subsequent Fine-Tuning
Reference 9
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Observation e6b8d3c7-a61f-4d53-9427-7fc352265f2f · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Advances in neural information processing systems , volume=
Reference 10
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Observation a2e854f8-4aab-4a6c-88fe-c2f036d2cc92 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Constitutional
Reference 11
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Observation 9b783277-afef-4725-b218-edf8447cf661 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Advances in neural information processing systems , volume=
Reference 12
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Observation 151eaa9e-4f56-475d-b9ae-e77fbb544cb7 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Advances in Neural Information Processing Systems , volume=
Reference 13
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Observation 3f1a87db-3639-4d34-bd01-7daba77bc9b0 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Proceedings of the 41st International Conference on Machine Learning , articleno =
Reference 14
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Observation 7ed1b347-8401-4272-bde6-832c6c94af8a · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Reference 15
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Observation 08552a79-d83d-4268-a07d-b6482d1147a7 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT 2023 , eprint=
Reference 16
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Observation 506ccccb-2154-46e6-8a53-bbd342554085 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Universal and Transferable Adversarial Attacks on Aligned Language Models
Reference 17
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Observation b089b126-a29d-491b-a4e4-5b826199a182 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT XST est: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models
Reference 18
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Observation d92f9899-399c-4df5-854e-a7bbb54b6da4 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Unresolved cited work
Reference 19
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Observation 043496bb-c4a9-4242-b319-bed7dd58d8e9 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT 2025 , url=
Reference 20
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Observation 9c4a539c-1d00-47ac-8d88-31973bdf4348 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Advances in Neural Information Processing Systems , volume=
Reference 21
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Observation 7fb46ce0-fd34-4f4c-8e7d-537b2e746372 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT International Conference on Learning Representations , volume=
Reference 22
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Observation 7aae149f-f1dc-4ffe-af76-106006939552 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Unresolved cited work
Reference 23
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Observation 95425667-b0f4-4911-bd19-de56338d7255 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
Reference 24
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Observation ed7dc7ad-fc75-4f71-a0d8-2545cce8a2e8 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT International Conference on Learning Representations , year=
Reference 25
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Observation 7e1c07db-132b-431a-b4ab-7987881616ab · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Unresolved cited work
Reference 26
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Observation e6ee6d38-722d-49bf-baec-06890b6e7605 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Reference 27
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Observation cd5f8ee0-a79e-4939-9c06-95fbdaebece4 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT 2021 , publisher=
Reference 28
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Observation 522c6c56-00a1-4fe6-ae70-4fd13bca52a8 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT The Llama 3 Herd of Models
Reference 29
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Observation 9e99cc1b-85f8-4ef8-b5a6-0e8738036fc6 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT 2 OLMo 2 Furious
Reference 30
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Observation 1722050a-23af-44be-acb0-af7f87635e53 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Advances in neural information processing systems , volume=
Reference 31
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Observation eaf029c5-f149-4594-b802-7d02f6fd0cc0 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Advances in Neural Information Processing Systems , volume=
Reference 32
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Observation 96e425a5-5712-4153-99e9-85cf537b3355 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Unresolved cited work
Reference 33
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Observation fa6c10c0-0721-4734-9369-c464dd62f674 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Unresolved cited work
Reference 34
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Observation 5871ca10-dbf3-4100-973c-400b5e76cec3 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Researching Alignment Research: Unsupervised Analysis
Reference 35
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Observation 57aa9629-a0c6-4f71-8db7-aa87d9be263e · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Unresolved cited work
Reference 36
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Observation 225c1992-b2d7-4022-85c7-36b6b4f70fe1 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Findings of the association for computational linguistics: EMNLP 2020 , pages=
Reference 37
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Observation bad1bfd2-0b88-489c-91bb-568b3908683e · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=
Reference 38
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Observation c777d2ff-4d37-4f8b-b0fb-43a94a315687 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Aligning
Reference 39
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Observation 117591e9-ec13-4fb2-8b57-073c21886fcb · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=
Reference 40
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Observation 693e832a-5de3-4c13-ae6d-378d262db937 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Model Spec Midtraining: Improving How Alignment Training Generalizes
Reference 41
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Observation 8a556665-a590-4f9e-93a8-3f53118fe5f2 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Instruction-Following Evaluation for Large Language Models
Reference 42
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Observation 200cdfba-ffe3-4b01-8d78-a89e72cde748 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Unresolved cited work
Reference 43
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Observation 6d26df06-1b48-41ef-8852-0de2fc651fcb · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Unresolved cited work
Reference 44
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Observation 501a62a8-e6f5-4b7f-8ad7-c51fe2427d1c · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT International Conference on Learning Representations , volume=
Reference 45
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Observation 45550689-fb79-4e38-be1f-4a110e429086 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Advances in Neural Information Processing Systems , volume=
Reference 46
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Observation 03867213-9911-42d0-9d82-3f73af0687ff · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Findings of the Association for Computational Linguistics: ACL 2023 , pages=
Reference 47
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Observation 1248bad9-b84d-4c77-9942-97b5daa5297c · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT International Conference on Learning Representations , volume=
Reference 48
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Observation c053dac0-e414-44d8-a643-860ac74963f8 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Zenodo , year=
Reference 49
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Observation ecefa553-4193-4a98-8e25-ce9f99e89c1c · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Advances in Neural Information Processing Systems (NeurIPS) , year=
Reference 50
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Observation 0c4d1232-2bcc-4c12-9b67-adfcfa9ed033 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT International conference on machine learning , pages=
Reference 51
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Observation 08fbf192-c69a-4b56-bfbe-432969869482 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Advances in neural information processing systems , volume=
Reference 52
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Observation a4faee45-8f7b-48b5-a646-1eb5f3244604 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT International Conference on Machine Learning , pages=
Reference 53
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Observation 338fe9c2-5404-45a7-9541-5e26eb5e7735 · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT Nature , volume=
Reference 54
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Observation 67494d31-016c-410d-ba14-546bd0c1382d · outbound
Similar Models Learn Differently: Final-Window Pretraining Shapes Post-Training Beyond SFT The Fourteenth International Conference on Learning Representations , year=
Reference 55
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No inbound Pith citation observations are available.