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Paper Citation Record · LEDGER

Rotation-Preserving Supervised Fine-Tuning

As of 6 August 2026, this Paper Citation Record lists 100 of 121 outbound references and 0 inbound Pith citation observations for arXiv:2605.10973.

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

pith.paper-citation-record.v1
2605.10973 v1

Coverage vector

measured 100 of 121 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T06:26:20.393476Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 121 outbound references displayed

  • verified exact38
  • verified fuzzy49
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch11

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcbea80e-f922-4ca2-98af-1c53e0048f7e · outbound

This paper cites Qwen Technical Report.

Rotation-Preserving Supervised Fine-Tuning Qwen Technical Report

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:27:24.518505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 9a50ba15-a2d9-42f1-b26d-0098c1bb149e · outbound

This paper cites Parseval Regularization for Continual Reinforcement Learning.

Rotation-Preserving Supervised Fine-Tuning Parseval Regularization for Continual Reinforcement Learning

Reference 2

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arxiv_id, observed 2026-05-13T06:27:24.510093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation f8f1a598-b1e2-45a1-a378-808e10d60d1a · outbound

This paper cites Weight Clipping for Deep Continual and Reinforcement Learning.

Rotation-Preserving Supervised Fine-Tuning Weight Clipping for Deep Continual and Reinforcement Learning

Reference 4

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arxiv_id, observed 2026-05-13T06:27:24.516052Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:74d89d7e5a33f23ab4a21a55f35a3a9d399fb91545372dcef6190e711015ba30

Observation 95341141-2b67-4667-af6b-3434cb40d404 · outbound

This paper cites Franke, Michael Hefenbrock, and Frank Hutter.

Rotation-Preserving Supervised Fine-Tuning Franke, Michael Hefenbrock, and Frank Hutter

Reference 5

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raw_fallback, observed 2026-05-13T09:17:34.219849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:9beef3bdacd9aa14fd6616b42ed76606f09d3a6dedb5f5720ca453c48ad59aa7

Observation cca03c19-06d3-4fd3-b1bf-cded399650ca · outbound

This paper cites Hessian Eigenvectors and Principal Component Analysis of Neural Network Weight Matrices.

Rotation-Preserving Supervised Fine-Tuning Hessian Eigenvectors and Principal Component Analysis of Neural Network Weight Matrices

Reference 7

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arxiv_id, observed 2026-05-13T06:27:24.513322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:e5165f12b3eb1fcf96b869d9324069df6d3882a7509395fb9c198fd813f57faa

Observation a824a3d8-a928-43b5-8165-d542a541433c · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Rotation-Preserving Supervised Fine-Tuning OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 8

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local_arxiv, observed 2026-05-13T06:27:24.521157Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:59f286381f4863a139956f4dcdc4293f24ce8e3578bd1c80d489efe08ddaf08f

Observation b5f303c0-597f-469a-856d-bb09be0ba245 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Rotation-Preserving Supervised Fine-Tuning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 9

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local_arxiv, observed 2026-05-13T06:27:24.507398Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:15df6ffc0130afa3dab3481961b61daafe9c5c89da732f07d6f23a42d5a0a8c0

Observation 522161e9-4604-4005-8de8-796499690059 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Rotation-Preserving Supervised Fine-Tuning LoRA: Low-Rank Adaptation of Large Language Models

Reference 10

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local_arxiv, observed 2026-05-13T06:27:24.490913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:d947f60e4d62cbaee400c53772d5d05a7a4b2d868a49080de1999cc0c3ea648b

Observation 174c39e6-e03d-41e5-92f3-1b0631df76a9 · outbound

This paper cites Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning.

Rotation-Preserving Supervised Fine-Tuning Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning

Reference 11

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arxiv_id, observed 2026-05-19T01:01:10.910011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:f7508b53d49b86245847a1fe7805a41fbd72bdb29d84d1a177f9e07d1dc36c8f

Observation c12c642c-901c-4ec9-aead-2a50c9fd292f · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

Rotation-Preserving Supervised Fine-Tuning Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 12

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raw_fallback, observed 2026-05-13T09:17:34.265696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:503847c7c86bc6c3a2bf9ef4e0741054cf0cc5fba9dd01f03139ac7b395d6979

Observation ea844235-6680-4ebb-b344-4fe88d611e2a · outbound

This paper cites RL Fine-Tuning Heals OOD Forgetting in SFT.

Rotation-Preserving Supervised Fine-Tuning RL Fine-Tuning Heals OOD Forgetting in SFT

Reference 13

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local_arxiv, observed 2026-05-13T06:27:24.468947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation abd819cb-3f6b-4c46-b0f2-16dd55de3d39 · outbound

This paper cites Maintaining Plasticity in Continual Learning via Regenerative Regularization.

Rotation-Preserving Supervised Fine-Tuning Maintaining Plasticity in Continual Learning via Regenerative Regularization

Reference 15

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arxiv_id, observed 2026-05-13T06:27:24.390271Z

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source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:26b7c0f1c1836b12343ebd9be2a519d542b6bce1b15bd9c0903952e9b241e0d4

Observation 9b47fb12-fdc4-4b43-be30-2e80a4e1a883 · outbound

This paper cites Limitations of the empirical fisher approximation for natural gradient descent.

Rotation-Preserving Supervised Fine-Tuning Limitations of the empirical fisher approximation for natural gradient descent

Reference 16

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raw_fallback, observed 2026-05-13T09:17:34.303906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:9f7cdf2d79ae336cb72867a8a7c058881bfa279e66edb33d6f8b9907306ec6e2

Observation 3c9147a1-8ecc-4e24-ab68-4d951cc45020 · outbound

This paper cites Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training.

Rotation-Preserving Supervised Fine-Tuning Reinforcement Fine-Tuning Naturally Mitigates Forgetting in Continual Post-Training

Reference 17

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arxiv_id, observed 2026-06-30T03:18:04.881731Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:6d2531879373ab42b3cbac284c9236b87e016a38a478d92b53256096188f9d25

Observation d3f66ff6-b7b6-472e-b0f1-1c29959bb542 · outbound

This paper cites Learning Continually by Spectral Regularization.

Rotation-Preserving Supervised Fine-Tuning Learning Continually by Spectral Regularization

Reference 18

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verified exact
arxiv_id, observed 2026-05-13T06:27:24.463517Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2cc75565-6293-4305-a0ad-b9802c21183b · outbound

This paper cites Solving Quantitative Reasoning Problems with Language Models.

Rotation-Preserving Supervised Fine-Tuning Solving Quantitative Reasoning Problems with Language Models

Reference 19

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verified exact
local_arxiv, observed 2026-05-13T06:27:24.455152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:a6e5fd9d6e10a7b4d406c1187253798e67af7c427fbf72efe64b1a536e78e6db

Observation 08c92a10-9c5c-4346-8567-14d99bfe7adb · outbound

This paper cites Sft doesn’t always hurt general capabilities: Revisiting domain-specific fine-tuning in llms.

Rotation-Preserving Supervised Fine-Tuning Sft doesn’t always hurt general capabilities: Revisiting domain-specific fine-tuning in llms

Reference 20

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arxiv_id, observed 2026-05-13T06:27:24.460823Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 79323559-d2ff-431f-885e-457675ae7ea2 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Rotation-Preserving Supervised Fine-Tuning TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 21

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verified exact
local_arxiv, observed 2026-05-13T06:27:24.444343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:8b3c4e882d04c6d9b4f1bd39a0002f2e9180f941ca190c995928b2679e9ed5e6

Observation afbe7f9c-43bb-44aa-9374-7ab338b6f517 · outbound

This paper cites Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective.

Rotation-Preserving Supervised Fine-Tuning Rethinking the Stability-Plasticity Trade-off in Continual Learning from an Architectural Perspective

Reference 22

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metadata mismatch
arxiv_id, observed 2026-05-13T06:27:24.452626Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:055115dd306fc818229930bfdfddffc91c3523b13115ce0657beb44a7b6e4608

Observation d8f1fadd-0ab0-467c-95d8-e45649d4266f · outbound

This paper cites Understanding plasticity in neural networks.

Rotation-Preserving Supervised Fine-Tuning Understanding plasticity in neural networks

Reference 23

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arxiv_id, observed 2026-05-13T06:27:24.416283Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:9623aebb5736227133d7a9c75fa82a15a861d15e659b14f5dea21a1e6fe73122

Observation ff0bbc7d-3d81-46fb-9351-1f294c5b6028 · outbound

This paper cites Deep learning via hessian-free optimization.

Rotation-Preserving Supervised Fine-Tuning Deep learning via hessian-free optimization

Reference 24

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verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.128168Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:e9d2f6fe6c15f468a69c26874d61b10b07f7ee5b01ba2945053a37603e22c37c

Observation b6f56116-38d7-475b-97bd-9b11567c844a · outbound

This paper cites New insights and perspectives on the natural gradient method.

Rotation-Preserving Supervised Fine-Tuning New insights and perspectives on the natural gradient method

Reference 25

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arxiv_id, observed 2026-05-13T06:27:24.504741Z

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source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:1b86d8169470f9f845ddf507515ee9f123c2c025fb07ac022b36fe1cba2be98d

Observation d2d7e066-a107-4485-898c-4222467b7765 · outbound

This paper cites PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.

Rotation-Preserving Supervised Fine-Tuning PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Reference 26

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arxiv_id, observed 2026-05-13T06:27:24.429670Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:0acfba6fea266d1dd5eb8837a6a70c93c4643eefd0e4a9f158fc49e244f7e6df

Observation 2634b360-0802-453c-8acd-efebda4cd5d7 · outbound

This paper cites Reinforcement learning finetunes small subnetworks in large language models.

Rotation-Preserving Supervised Fine-Tuning Reinforcement learning finetunes small subnetworks in large language models

Reference 27

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arxiv_id, observed 2026-05-13T06:27:24.425777Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:3b0592b50d4ce5ed6ea199813ab61430df1ff0a7b6eb448a6622b4c076e20655

Observation 91722a24-52a3-471a-8695-bbdad7b4ef3a · outbound

This paper cites Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning.

Rotation-Preserving Supervised Fine-Tuning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 28

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arxiv_id, observed 2026-05-13T06:27:24.419090Z

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Observation 58493426-1bac-4378-95dd-b35686910c68 · outbound

This paper cites Offline learning and forgetting for reasoning with large language models.

Rotation-Preserving Supervised Fine-Tuning Offline learning and forgetting for reasoning with large language models

Reference 29

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arxiv_id, observed 2026-05-13T06:27:24.447217Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:7e232aeb1256fd3ffc6b7103c69e95bd92d310d85cb613dcc2f2c83a09ba62d7

Observation 24133e5e-dbfe-4dfe-a1ca-2eecd9d9f5b4 · outbound

This paper cites OpenAI o1 System Card.

Rotation-Preserving Supervised Fine-Tuning OpenAI o1 System Card

Reference 30

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local_arxiv, observed 2026-05-13T06:27:24.471498Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:14e6cfa7529faea0821bb303c884639ec7ddaeabd7ea23e78f00dfda955999f5

Observation c53f467c-925c-4fd4-b0f5-bd44f83690f3 · outbound

This paper cites Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved).

Rotation-Preserving Supervised Fine-Tuning Supervised Fine Tuning on Curated Data is Reinforcement Learning (and can be improved)

Reference 31

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arxiv_id, observed 2026-05-13T06:27:24.422736Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:90168bae13f1231730d880daec105cd4b738255336cfa11667572aa5df964d69

Observation 2f309d6f-846d-487f-8521-10e697f32cd5 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Rotation-Preserving Supervised Fine-Tuning GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 32

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local_arxiv, observed 2026-05-13T06:27:24.493622Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:b08c3ddf3712996aaa20c10aca81ddbb138f523e767feb11791d9af5cb651e8d

Observation 3d4840a4-9783-451a-8759-1418dff2c4e6 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Rotation-Preserving Supervised Fine-Tuning Proximal Policy Optimization Algorithms

Reference 33

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local_arxiv, observed 2026-05-13T06:27:24.496594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:f42f25ed06945ef1c152ab6dc2069454d61def705d1955a1cb61616e6144b171

Observation b425a076-4f5a-4b71-a829-b8e333f89950 · outbound

This paper cites RL's Razor: Why Online Reinforcement Learning Forgets Less.

Rotation-Preserving Supervised Fine-Tuning RL's Razor: Why Online Reinforcement Learning Forgets Less

Reference 35

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arxiv_id, observed 2026-05-17T05:03:54.455790Z

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:a41b4eb6be205cfcd785f3cb0144fbdc160002b6d74b58afee1183cc057907b8

Observation 1ed17bfc-ae55-49df-aed9-03ada23a917a · outbound

This paper cites Understanding Layer Significance in LLM Alignment.

Rotation-Preserving Supervised Fine-Tuning Understanding Layer Significance in LLM Alignment

Reference 36

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arxiv_id, observed 2026-05-13T06:27:24.410789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:aabc336a83a2b99b144e7e7c9f5be186e1f779628c5ac9b35af4563af1fe3095

Observation 92300b9a-0b21-49f9-bb42-875a98e82b7c · outbound

This paper cites SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.

Rotation-Preserving Supervised Fine-Tuning SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Reference 37

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arxiv_id, observed 2026-05-16T00:47:04.366365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:ba9d1fde96077144c2cba2541d98600b175955d0a4edbeca178c837be6da437f

Observation c4dcc172-0143-4606-bb55-9b139eaaa616 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

Rotation-Preserving Supervised Fine-Tuning Qwen2.5: A party of foundation models, September 2024

Reference 38

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raw_fallback, observed 2026-05-13T09:17:34.235638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:7ba7befbd39a1c2ec1eba1d66a6f6529a5a1011ec091bcfd9029c02bedc2c4d9

Observation be3ad46f-3ecd-4550-8df6-93f501fa382d · outbound

This paper cites Continual Gradient Low-Rank Projection Fine-Tuning for LLMs.

Rotation-Preserving Supervised Fine-Tuning Continual Gradient Low-Rank Projection Fine-Tuning for LLMs

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.479568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:c8f81ba537095990c7aaa39eb5e888c32f96514f64100f177be9da5a4f5ebf1d

Observation a2de56f4-d49c-4cc3-8b3e-1642f32ad249 · outbound

This paper cites MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning.

Rotation-Preserving Supervised Fine-Tuning MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.407572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:af4eba76b49b2bd9a16fb0e063de7c21035afbecdc0f0e7040c648200c0b6281

Observation 836de5af-6012-4cf5-87ea-92f910e47978 · outbound

This paper cites A Comprehensive Survey of Continual Learning: Theory, Method and Application.

Rotation-Preserving Supervised Fine-Tuning A Comprehensive Survey of Continual Learning: Theory, Method and Application

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.438531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:2e671bdf83b23a918bb83a7a0ca030d825db1bf81699ef4377132225d122c27d

Observation d9a3de84-dfeb-4dc2-84a5-016bb9473476 · outbound

This paper cites Orthogonal Subspace Learning for Language Model Continual Learning.

Rotation-Preserving Supervised Fine-Tuning Orthogonal Subspace Learning for Language Model Continual Learning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.441512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:6113a9fb34c8c60a841d384d181cb1ea6e3db3a7d04f419017e6c855a1732205

Observation 1ad04c0f-798c-4c0c-8e84-b0354f2f0ee8 · outbound

This paper cites MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark.

Rotation-Preserving Supervised Fine-Tuning MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark

Reference 43

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:27:24.449817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:368ebcc7bbd520a05144a0fec4c2d980b22ae7590fe85309a505f8f07a395ec7

Observation bc160d98-4690-4dc3-973e-ca2419ddc4e8 · outbound

This paper cites On the generalization of sft: A reinforcement learning perspective with reward rectification.

Rotation-Preserving Supervised Fine-Tuning On the generalization of sft: A reinforcement learning perspective with reward rectification

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.396050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:8b14c8d1205353cb7b39e420044ec6d9704e9613d22807591c7faf2ba173e360

Observation 282fd0f5-0e1b-4bf8-ac24-40e45c5dd656 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

Rotation-Preserving Supervised Fine-Tuning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:27:24.401636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:ddb88049d67737bed324c1d538a0109e8c090324893fab7324715cccb0e4b227

Observation 3d195e56-33e5-4b3a-b7ff-b766320c2681 · outbound

This paper cites A Layer-wise Analysis of Supervised Fine-Tuning.

Rotation-Preserving Supervised Fine-Tuning A Layer-wise Analysis of Supervised Fine-Tuning

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:27:24.404447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:cdc8ec713342e3bc4f2e79f8928af3e1fbd584fcebb710e4e238b0444a41e746

Observation e20704d2-6797-4a12-8ad1-ca645e1bb479 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

Rotation-Preserving Supervised Fine-Tuning Instruction-Following Evaluation for Large Language Models

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:27:24.488321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:2cc68c137d3da6d2ba9c847c9eeaa235d8027fd10f860eae7fe535bc5a72a5d4

Observation 34f56364-6bf7-41ac-b68f-b3d017eb6452 · outbound

This paper cites Pan, Zhangyang Wang, Yuandong Tian, and Kai Sheng Tai.

Rotation-Preserving Supervised Fine-Tuning Pan, Zhangyang Wang, Yuandong Tian, and Kai Sheng Tai

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.374216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:e02b6d2b3f0f05c9d2c95248e1fda0d1d4c25d4b01c1cbde316ed0819bc58126

Observation 181f006e-3258-4bbd-9b51-73f998a7740e · outbound

This paper cites Pan, Zhangyang Wang, Yuandong Tian, and Kai Sheng Tai.

Rotation-Preserving Supervised Fine-Tuning Pan, Zhangyang Wang, Yuandong Tian, and Kai Sheng Tai

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.474324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:ab2adc563bf76efea65c34e784694660eb7613136da879258e9d2a1b5ae46d8b

Observation d39094ba-1a8a-4749-bb91-ce3c0e3851fd · outbound

This paper cites Proximal Supervised Fine-Tuning.

Rotation-Preserving Supervised Fine-Tuning Proximal Supervised Fine-Tuning

Reference 50

Resolution
verified exact
local_arxiv, observed 2026-05-13T06:27:24.398782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:db4313b20613ace41697fe1c20253a1eeb2188e30ba46390448729223de3a096

Observation 6e22a579-a5ae-42fd-9a29-6a16d3a5ab8d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Rotation-Preserving Supervised Fine-Tuning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 51

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T06:27:24.392990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:9aeacb77753a8c019c5bdf2b902a5fdb71762f51b7261192cda3550c3a6d608a

Observation fde48afc-582a-46f0-bc1c-f6d17de9b795 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Rotation-Preserving Supervised Fine-Tuning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 52

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T06:27:24.457659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:c3e58daffad6d3831a79cd4bc46926667346b02d7f05d153d6cdde76b135a04d

Observation 89d9ac18-dcf9-4581-ab5d-e7c8c96ed8c7 · outbound

This paper cites an unresolved cited work.

Rotation-Preserving Supervised Fine-Tuning Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-05-13T06:27:25.116395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:65decdf6691ad0ec61850cf97f60ad62a09424c33c3253fd26d9c315157618b6

Observation bbcc36df-a5b8-4349-8437-41d91bd26d63 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Rotation-Preserving Supervised Fine-Tuning Finetuned Language Models Are Zero-Shot Learners

Reference 54

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T06:27:24.432084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:a23f2bbd1808156ce6975cccb3c8e66f015a83f85b0bb6654c01c719a43b07b6

Observation 56103db1-341d-42e0-b6bb-481f768addbf · outbound

This paper cites 2021 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2021 , eprint=

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.386652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:76769eca361d5a88a41ea21239835fda0762cb37f6b64cd86639c15ae5388129

Observation a98d5c56-fa32-4d48-a7cc-a8bbd6bdc222 · outbound

This paper cites Training language models to follow instructions with human feedback.

Rotation-Preserving Supervised Fine-Tuning Training language models to follow instructions with human feedback

Reference 56

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T06:27:24.499041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:0b34180d5bbe80dae2f275f48fffe43a52057a210d692ccb0a18bbef6f363111

Observation 01533d62-7bb4-4db3-b1b9-7c1096164db7 · outbound

This paper cites 2024 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2024 , eprint=

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.231388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:38806dde395c7877e088b8474ea8b799b8306d4db998d0faa89259f158ac6506

Observation f905d9ae-4c60-4cee-b6a1-dccc231b1e7e · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.122494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:5a58c171fce5662b7a2d24a79c97073ad5dc9a390ecedfd475b1c8c94230fe1e

Observation b95d5cc4-097b-4011-9b49-87de43bd45c1 · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.125980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:80a26b3d7cef9e53b96f152d79e2b842d36030c98ec869ca4ffb11f13a26c71d

Observation fa6f70e3-0b40-462f-bd18-bcf585524760 · outbound

This paper cites 2024 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2024 , eprint=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.131723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:a366415c78859d9f9cf795b064c3dafb20a74f3e12285cac1f489deeebaf4a10

Observation ddb67b8f-258e-44cb-b542-82cd1e96d184 · outbound

This paper cites Learning How to Strategically Disclose Information.

Rotation-Preserving Supervised Fine-Tuning Learning How to Strategically Disclose Information

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.501795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:34ec38c15b95d1dbf9229fc0c63dd6c61438d48fd3b35474287adcf9988c43ef

Observation 5ace70f4-d603-44a0-b1d3-ca84a0ed8e73 · outbound

This paper cites 2021 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2021 , eprint=

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.124227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:7ad8d303722d990184e19f8fc917c1f89f5463847d83304188411bca81e9a212

Observation 23db63b0-8c30-4436-a339-c20bdf67d170 · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.134320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:ece24a7a2fcf054711167633ca6908736c9decaed2b5bffd9d5099a66a9a1dc5

Observation 8994f1ec-82d0-4189-a13c-37de50dab790 · outbound

This paper cites 2013 , publisher=.

Rotation-Preserving Supervised Fine-Tuning 2013 , publisher=

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.361866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:cbdfe0f3bb91841f7deca83d7be62edcb055e830a2d27857edb06262acf47258

Observation 58eeafdc-db93-476f-95f5-f6d643073a9b · outbound

This paper cites 2023 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2023 , eprint=

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.249780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:1f199d3a22c50a727fabf3f40aba1f99f41fa0e324b8ce7686235a6723657a43

Observation 529c9ecc-60bd-4cdb-bf9a-6be0c2ae7505 · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.287283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:9d82ea7e651eefe3ce8e70cf7c048b14e5af78561e477ac281ab70ca6d78faf8

Observation 395319c4-175c-4847-ad67-0301cd149441 · outbound

This paper cites an unresolved cited work.

Rotation-Preserving Supervised Fine-Tuning Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-05-13T09:17:34.378835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:2b3476f4a3c733f82aba86147211cd06bfc28f3c1ec61424782784c1c816396f

Observation a1f1ea53-845b-4a22-bdf3-bfbc1c221d8f · outbound

This paper cites arXiv preprint arXiv:2505.21908 , year=.

Rotation-Preserving Supervised Fine-Tuning arXiv preprint arXiv:2505.21908 , year=

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.466178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:9dfdf701584fc54e952249c7dc9c8f12ad0ba897000815adf2a3a528e85d23f1

Observation d151ed57-1b04-4877-9e63-d82651150bfd · outbound

This paper cites 2023 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2023 , eprint=

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.357841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:3cf151abde2af662dbf26eb6403e2217632d35f7e502f44679559f635a55c3b5

Observation 6cd98265-ce14-4c83-ba52-07159fa8388a · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.291293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:d231c8974013908c0d90cb6b661ffd7aa1e85a9d1cf325aa67896cf7e1a544ae

Observation 9ebbfcb0-1819-45e1-95a4-4d35df997713 · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.394741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:b61cf95f5f24196f7c7d7baa79d27b01f9403866e1e1021dde39e4b76debc478

Observation 5a26141a-2657-488b-bd3e-959df4ad5e7c · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.452878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:9999a581d21180681e09a15f03ffe601025c31ae6ba69c84c9a8dc624d130495

Observation 58c78556-a266-4448-9a5b-6b315efbf877 · outbound

This paper cites The Llama 3 Herd of Models.

Rotation-Preserving Supervised Fine-Tuning The Llama 3 Herd of Models

Reference 73

Resolution
metadata mismatch
local_arxiv, observed 2026-05-13T06:27:24.476771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:57f45957463e2a6c98dd622f19912099c212055a131f14d09b55528b3a956161

Observation e6136f7d-bde6-4b16-a9e5-7d1452e0b2ec · outbound

This paper cites Qwen2.5: A Party of Foundation Models , url =.

Rotation-Preserving Supervised Fine-Tuning Qwen2.5: A Party of Foundation Models , url =

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.348036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:d7b0042f70b6c63132261359fd97812c64cf6f85c456fa05a09f79d336dea3df

Observation c7fbcd25-3ed6-4f17-a5ba-ce1141f9cc57 · outbound

This paper cites 2023 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2023 , eprint=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.418087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:9ddcf645ecd29ff765e3b080eb1d4c7961d0d985a0443c96d6b4131be41f16b3

Observation 054f2f81-96aa-436f-acc4-8b38426eafe0 · outbound

This paper cites Available at http://arxiv.org/abs/2403.05175 (accessed 14 December 2025).

Rotation-Preserving Supervised Fine-Tuning Available at http://arxiv.org/abs/2403.05175 (accessed 14 December 2025)

Reference 76

Resolution
metadata mismatch
doi, observed 2026-05-13T06:27:23.912544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:ab44133a3f4b48d87fee402dfee94021ee3bb82f08cca70a47220c0e31358f9f

Observation b011f4fa-4537-4f48-b692-6183982cdc63 · outbound

This paper cites 2019 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2019 , eprint=

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.130007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:92701d2c4a1c07f43533f97797315dc8378145c645dd31574118c99371874e9c

Observation f6ade2b9-1e6e-4746-9948-770a917847f0 · outbound

This paper cites 2017 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2017 , eprint=

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.110894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:47c72b7847c014d8546cb9c65b9e4f38471fd19c21c2641ebbf1485281cb8f0b

Observation 5155eec7-e929-4133-b918-1a65aef38e67 · outbound

This paper cites 2023 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2023 , eprint=

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.257514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:86dedbf147bd80e2ccd18df24cfacd2fcec1b553c17ac61ab73daf856b3015f7

Observation 118eee76-0048-4e3a-b8cc-4228927e2660 · outbound

This paper cites 2023 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2023 , eprint=

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.261385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:cb7c26da4a423f1ffe9076c6161799faa3777b479f94cb5a53ffd84adc45e712

Observation 96d45db5-eebf-4139-8cd8-597ec7a489f0 · outbound

This paper cites 2022 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2022 , eprint=

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.226593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:445ca4feb5c02493cea3f985a70ae43fe8918bfb37b17ce9c3dbf2de89f133f0

Observation e262af08-2860-4544-8fc6-511a0335af2e · outbound

This paper cites 2016 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2016 , eprint=

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.136160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:ae18cef9f651e7d0bc2666f9a46b97b244654cdbf973e7c317186cccf1563e0e

Observation cebe0e1b-b462-4ed0-b94b-d1141bf33fb5 · outbound

This paper cites doi: 10.1073/pnas.1611835114.

Rotation-Preserving Supervised Fine-Tuning doi: 10.1073/pnas.1611835114

Reference 83

Resolution
metadata mismatch
doi, observed 2026-05-13T06:27:23.909815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:6a281134a244d00a8296b3faee9f316d446a4a09cff4320edd844809faae3bfc

Observation 05154a55-2c03-4d33-87c8-62c19d49254d · outbound

This paper cites 2023 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2023 , eprint=

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.339687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:03e183d274579a271692a766760557b2e60d5be670cf4aa0508bba755f2844ce

Observation 28b1ec53-0357-4851-8334-07c436a9bfbd · outbound

This paper cites ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models , year=.

Rotation-Preserving Supervised Fine-Tuning ICLR 2024 Workshop on Mathematical and Empirical Understanding of Foundation Models , year=

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.120712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:9f55eebe98b7837d79a0d5f455e94dcba9d3cc9a386de8ed09f250d83fb7e188

Observation cae2078d-1828-4f23-8366-2be5a964793e · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.112548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:d3a74794567a03772c2ff56ab150cb8b2a681339d96003b773746ba077701575

Observation 8314d2f8-51ad-4a12-8e4a-744fffb5b962 · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.114312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:d0838de38a2a3442ac6330bc9a35ee7c6819fc2f22e61373759f199163aa9ed6

Observation 547bdeb4-984a-4422-bdd1-b2edaef84539 · outbound

This paper cites 2024 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2024 , eprint=

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T06:27:25.118740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:fcd8e2ae6b424e8ff85bc30918e56d84bf91c5ac68b84a8dd98aa7185194bc86

Observation a4e5bc69-79f2-4cb0-bfa1-dabc32a6aa73 · outbound

This paper cites 2023 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2023 , eprint=

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.253484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:fde28a6abb41267028cd37947be81b42a68f747c9e26e122f330d2101b233463

Observation 4e0141b4-95c3-49cc-8a74-2022a160c725 · outbound

This paper cites Nature , volume=.

Rotation-Preserving Supervised Fine-Tuning Nature , volume=

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.316120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:dfda461b91add44b6252251c2e6c2d6e4dc037b044a0a2d3f9cf9961cb606bed

Observation a170b13b-8597-4991-88c5-832f022f313b · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.323637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:f2988067b872afca3a5a134261bfe12157fc149171493711f7d77b4cf8feacfc

Observation 0245100a-d3c6-4b70-8f9c-c4b9d3e0bbde · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.270611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:f91911b3d7eff2733f07ce5f6e7b1fee7d1940e335afe956abdb51282bfc4cc7

Observation 1c66ebca-1884-41b5-8430-0824026f5cf3 · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.435476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:5838ac42dcad358acd282e34089683cbd109f999434ed219455882a8901fe3fb

Observation 04289241-0a40-446b-90dd-144ad6fccb96 · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.295525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:05b2e26cead7140bab87bf9b2577a03f41dc7cc667285bef0bdabf7590836e92

Observation b7e508c4-aab0-4b66-97ac-5f0c52cd7ba9 · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.354772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:59ba5010ef001fcaad72e4cb823d835e829cacc1f365785e10445cdf355a72b0

Observation 0b051ab0-ba13-4a50-8302-302b236c3ad9 · outbound

This paper cites 2024 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2024 , eprint=

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.307994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:277a3ffec131443f1680e54b8377662a0806c7e61844b25ca12ba2dcf9e2d178

Observation 693d7b0f-f1d6-4766-893d-fc9a25f3e5c3 · outbound

This paper cites 2024 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2024 , eprint=

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.390872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:13d51a07c8c50fb901813b9d3b20ea933bf5ccff0ada2f52242009cad05034e1

Observation f559f919-1423-4477-9745-af0d57d4912d · outbound

This paper cites 2025 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2025 , eprint=

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.327446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:e1df4bd06e2f40a7a749ca049e9f08bacc2891532c292c64267684d317eef272

Observation be81a815-128a-4c9c-aac2-64ffbe0ed2cf · outbound

This paper cites 2021 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2021 , eprint=

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.422027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:cd60172984b84579f7c560e73af2fea0044fbe98503e84324212521e07a1c2dc

Observation 146b7208-e3ae-4993-86ea-6f822db5a594 · outbound

This paper cites 2024 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2024 , eprint=

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.398510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:9cab18dfc6d01a8862664be4ef335b5fb3b672dffb9916fe7d13e6512a373e87

Observation 0dcf10a1-d970-420a-81f1-d35332b8377b · outbound

This paper cites 2022 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2022 , eprint=

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.410050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:aa29838a8080330b2d49220dfb9781d2246ff2fc37b81ca257970c2162445a34

Observation 564b1134-4f9d-45dc-9d2e-c8cbc0d0836b · outbound

This paper cites 2023 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2023 , eprint=

Reference 102

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.405785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:1e895b132410799420cba67736d5de5dd219d63d6498ef7ec2e6f0394d3153fa

Observation 4553e276-60e4-4347-abb7-a34de48b240f · outbound

This paper cites 2022 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2022 , eprint=

Reference 103

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.331741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:56d795e3706fd67ce9771c3fdad3fa6eca46333e5ac9483994f84c4bf0696905

Observation 11ebc91e-a48f-4a9d-9719-d561420b8826 · outbound

This paper cites 2024 , eprint=.

Rotation-Preserving Supervised Fine-Tuning 2024 , eprint=

Reference 104

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T09:17:34.319640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:41bfe1dcd4201448ee3297ec54102c01f4c18b5a411316f448b84781088f04e6

Pith citing papers

No inbound Pith citation observations are available.