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Paper Citation Record · LEDGER

R-TOFU: Unlearning in Large Reasoning Models

As of 14 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 5 inbound Pith citation observations for arXiv:2505.15214.

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

pith.paper-citation-record.v1
2505.15214 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:11.409573Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:59.134767Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:56:04.213306Z

Reference resolution

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f6b2047-b47c-440d-b47a-96acb68bb4a5 · outbound

This paper cites online" 'onlinestring :=.

R-TOFU: Unlearning in Large Reasoning Models online" 'onlinestring :=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:07.138182Z digest=sha256:21baa7b141580262c9424dfaa79783bc013d078696f7e1fbbaba2080d9009fd3

Observation c9a69c95-0bc3-46c7-94df-4fa87198cacf · outbound

This paper cites write newline.

R-TOFU: Unlearning in Large Reasoning Models write newline

Reference 2

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source=arxiv_source observed=2026-08-07T15:26:07.210959Z digest=sha256:a8ce14979242b9233e0bf760ce9df9f66b96c537ba8f63c89617c8689b485350

Observation ecf01cae-3162-49bc-834d-069dfd86f14b · outbound

This paper cites GPT-4 Technical Report.

R-TOFU: Unlearning in Large Reasoning Models GPT-4 Technical Report

Reference 3

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source=arxiv_source observed=2026-08-07T15:26:07.290482Z digest=sha256:251b30742e735e8b7feeb152aca07eec0dba1173d8430a0919b93c606a370739

Observation 98679d08-2ed6-41ad-989e-58aac599cb3a · outbound

This paper cites Qwen Technical Report.

R-TOFU: Unlearning in Large Reasoning Models Qwen Technical Report

Reference 4

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source=arxiv_source observed=2026-08-07T15:26:07.371033Z digest=sha256:15a9651de3b3262f3afadbbec6353aaceb4f7e8f8468e4cb63e2962e89ab534b

Observation c50f9644-399b-4319-b84d-00d05950540d · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:07.464623Z digest=sha256:abd4b9a5a3681902491743dc9f60fc8d1ebd0d60355c4b1ffa24fcaabe429d38

Observation 96a77634-ac51-4580-a8d7-a7768a5536a4 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:07.568893Z digest=sha256:3826e35b0e16107a832e6526ff07e73d03b875de2b24074a28fff882082545c2

Observation 8652a83c-8651-409c-b8c4-816ac803796d · outbound

This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

R-TOFU: Unlearning in Large Reasoning Models SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 7

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source=arxiv_source observed=2026-08-07T15:26:07.656955Z digest=sha256:9d0ca84696111c40c46cc324619320983708f6336b64a0ac9109046ea8983f1b

Observation 2b073b22-b053-4d6b-ad1c-d5e71677078f · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-07T15:26:13.193663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:26:07.739957Z digest=sha256:269aad55f3dab4744eb8912d69140e4805297ddac81a62dd2ee07beb37652e25

Observation 28d7fe94-3787-476d-94bd-62a2af8b6124 · outbound

This paper cites The Llama 3 Herd of Models.

R-TOFU: Unlearning in Large Reasoning Models The Llama 3 Herd of Models

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:07.906308Z digest=sha256:d5b122a018b5b071891a7292147d778f4d333a0c4b91b37f985df5248c31d410

Observation 7b0d0005-0ad0-407e-b634-eea39aa791b8 · outbound

This paper cites OpenAI, Inc.,.

R-TOFU: Unlearning in Large Reasoning Models OpenAI, Inc.,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:26:07.990044Z digest=sha256:e11e321c0459aa292eac63db318f6fd73cc0fe0e8d7abe535f488e9b661602fc

Observation 7834af5a-1fef-4f42-b4f6-acdef74f8c6a · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:26:08.056732Z digest=sha256:b2e1e303925b6a1a54428c995a9b1ffa39cd54e84b72d052ecc46db905727537

Observation b16702b3-4ece-48a4-a08a-bc1c2b48238e · outbound

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

R-TOFU: Unlearning in Large Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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source=arxiv_source observed=2026-08-07T15:26:08.142923Z digest=sha256:07c7565abf1cd050084dbf091f4a192580f11f8af3350c78859896f0995fa26d

Observation 95a9e280-3154-4c7d-b425-d329f3105b14 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:26:08.192667Z digest=sha256:b9259dc8e18a6fc756c25a486e887e6bf37e0706596e3f6e2b75aec589be222d

Observation 2555d2b5-d812-4fa7-acf1-c47e2407c928 · outbound

This paper cites Editing Models with Task Arithmetic.

R-TOFU: Unlearning in Large Reasoning Models Editing Models with Task Arithmetic

Reference 15

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source=arxiv_source observed=2026-08-07T15:26:08.266695Z digest=sha256:917a54a59dfc255612a846555980747b1bfaf10d9e03ec905503e72df7204b04

Observation 18d72740-83a1-4403-a2ae-703a7750f2bd · outbound

This paper cites OpenAI o1 System Card.

R-TOFU: Unlearning in Large Reasoning Models OpenAI o1 System Card

Reference 16

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source=arxiv_source observed=2026-08-07T15:26:08.344553Z digest=sha256:2e402930e649b20f8cd985773f0c5652eff175dd78baeeea9146a7d0491f6cd9

Observation 3cd2e8e8-9d39-4d4c-9bd3-bb487642f130 · outbound

This paper cites DUSK: Do Not Unlearn Shared Knowledge.

R-TOFU: Unlearning in Large Reasoning Models DUSK: Do Not Unlearn Shared Knowledge

Reference 17

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source=arxiv_source observed=2026-08-07T15:26:08.388326Z digest=sha256:69953c2e9ab7f0f9d061d09388e9819f749fb0056900d27843f91701fcacd7b8

Observation 2b4174f9-1f43-4122-b962-5fe75d77035c · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:08.434386Z digest=sha256:65b7d6d7a45756a2b90390a2d8c2a1151abb0b6b126421a86699a49d55cf59c5

Observation 71ae26ce-36ac-4e3d-a4b2-c62a6e1ec751 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:26:08.455023Z digest=sha256:fcd90ded1dc7cae56f38412ab1803c0d42e8fa635fd1913283fc5b7bd46303ce

Observation 91a54c12-0a46-4c0a-8d3e-33d7679a8283 · outbound

This paper cites SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities.

R-TOFU: Unlearning in Large Reasoning Models SafeChain: Safety of Language Models with Long Chain-of-Thought Reasoning Capabilities

Reference 20

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source=arxiv_source observed=2026-08-07T15:26:08.460709Z digest=sha256:da8b7ab88497dc7473ec30312751de124e44be973debd30bd2a38b8ee4319abd

Observation 28748ce8-d0b1-4bbf-8fdb-290c800cde06 · outbound

This paper cites RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models.

R-TOFU: Unlearning in Large Reasoning Models RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 21

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source=arxiv_source observed=2026-08-07T15:26:08.508353Z digest=sha256:8af0bbec848f721f6d8716b094519e24a7e6e4773dc61baed0f40399f00b421f

Observation d3b0ffa0-71af-4244-abd5-22357d0e93c1 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-07T15:26:08.631400Z digest=sha256:d5794449ff1c9a6b8e6e19f6838829d7cecc53d8808365578f13956c3995cf95

Observation 65a52fa1-955f-4be8-8b91-0bb952ba0e21 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 23

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source=arxiv_source observed=2026-08-07T15:26:08.754076Z digest=sha256:5ccd0e330184e75d7ef86dd48c6bd63a6d6338d927163e0b199ea019fb083bca

Observation abbaddcb-2941-4f1a-bf4a-dd2c99ab33e7 · outbound

This paper cites Learning to Refuse: Towards Mitigating Privacy Risks in LLMs.

R-TOFU: Unlearning in Large Reasoning Models Learning to Refuse: Towards Mitigating Privacy Risks in LLMs

Reference 24

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source=arxiv_source observed=2026-08-07T15:26:08.851174Z digest=sha256:407d02e663db5406c192620227eb5c81ed8478ab022323b321ff131a80c811dd

Observation 453a89f4-c7fe-4884-b150-bd6f7a82cb7c · outbound

This paper cites Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning.

R-TOFU: Unlearning in Large Reasoning Models Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning

Reference 25

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source=arxiv_source observed=2026-08-07T15:26:08.944651Z digest=sha256:828614f2a00f19c81be9fcda7b540364252b429877dba4e97bc909269a46c2e6

Observation d1657ec7-3b4f-4874-aeea-8bd93a8a75db · outbound

This paper cites At Which Training Stage Does Code Data Help LLMs Reasoning?.

R-TOFU: Unlearning in Large Reasoning Models At Which Training Stage Does Code Data Help LLMs Reasoning?

Reference 26

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source=arxiv_source observed=2026-08-07T15:26:08.975733Z digest=sha256:4baebe36dfa20a931886586b8c5c24b14b678e6f35ec07345919cc49deb11469

Observation c4192cf6-0913-4b19-b7cd-cbae07599b1c · outbound

This paper cites Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset.

R-TOFU: Unlearning in Large Reasoning Models Benchmarking Vision Language Model Unlearning via Fictitious Facial Identity Dataset

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:09.002446Z digest=sha256:a8780d5078e5eaf0d2c0e26926212dbac0c81f655b1e3c5c1dc7a5d99785ed2c

Observation 4217093b-4ab2-446c-8379-c9130da3e78f · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

R-TOFU: Unlearning in Large Reasoning Models TOFU: A Task of Fictitious Unlearning for LLMs

Reference 28

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source=arxiv_source observed=2026-08-07T15:26:09.097608Z digest=sha256:c32181cca9ba66e657d61447b69b1a6ee37767aa22c34e44d39c941811ab2a71

Observation c6b5e691-cf17-48c7-a037-b2083f83939d · outbound

This paper cites In-Context Unlearning: Language Models as Few Shot Unlearners.

R-TOFU: Unlearning in Large Reasoning Models In-Context Unlearning: Language Models as Few Shot Unlearners

Reference 29

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source=arxiv_source observed=2026-08-07T15:26:09.277273Z digest=sha256:8ac8fe147006c238357cae045a0f1e3dec085356d538813d6f5834f0f33a65ac

Observation e28ab6bd-b6a3-4920-b140-31d5743d458a · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:09.411645Z digest=sha256:6e1e4d84db6fa5c92d2666ebdbffdbf3030bff700056c6abd33bdef535df0815

Observation a71f9745-48e3-47d1-9d95-e987696a59dd · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

R-TOFU: Unlearning in Large Reasoning Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 31

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source=arxiv_source observed=2026-08-07T15:26:09.509987Z digest=sha256:aee52ab34ea4461f7a7708c44f850526d18e34083fd30b4d03108bc4d3705253

Observation e8670464-faad-464b-bea7-1db115bc5498 · outbound

This paper cites Self-Reflection in LLM Agents: Effects on Problem-Solving Performance.

R-TOFU: Unlearning in Large Reasoning Models Self-Reflection in LLM Agents: Effects on Problem-Solving Performance

Reference 32

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source=arxiv_source observed=2026-08-07T15:26:09.642113Z digest=sha256:b80b8c760094d16a75969a0c3ee15d1d31840b8f395fa1fe0ab9c5b790c9e1ca

Observation 6457de61-2b20-4211-8dc6-4b2eb21ea5ba · outbound

This paper cites Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models.

R-TOFU: Unlearning in Large Reasoning Models Obliviate: Efficient Unmemorization for Protecting Intellectual Property in Large Language Models

Reference 33

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source=arxiv_source observed=2026-08-07T15:26:09.741457Z digest=sha256:92d19c7907f5a999e120f3faae75da7648c48c1b8d43366ca6ee960435e7a13f

Observation eecb8ac0-e54e-4f56-b05b-9a4354ca9c14 · outbound

This paper cites tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and Evaluation.

R-TOFU: Unlearning in Large Reasoning Models tasksource: A Dataset Harmonization Framework for Streamlined NLP Multi-Task Learning and Evaluation

Reference 34

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source=arxiv_source observed=2026-08-07T15:26:09.883297Z digest=sha256:26637166461facb1fa5c6aec05a991b339a7f53722f9692e7101206a2c660f1e

Observation c5924890-cead-4d5d-8138-03ea15fe78a5 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 35

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:10.002596Z digest=sha256:287e1d48343a1120e1918b5de48828d954ecefbed848d7a12c855efd864b3d5b

Observation 0aec59ac-933b-45c0-97a9-90d788933f67 · outbound

This paper cites Is ChatGPT a Good NLG Evaluator? A Preliminary Study.

R-TOFU: Unlearning in Large Reasoning Models Is ChatGPT a Good NLG Evaluator? A Preliminary Study

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:10.122394Z digest=sha256:5991d86d47b17fc7fb7cab9c6c7c591841c9841097f8cdb64b7157cb3d9e899d

Observation 3a12748b-76df-4d96-8a36-beba2ee09e70 · outbound

This paper cites Evaluating Copyright Takedown Methods for Language Models.

R-TOFU: Unlearning in Large Reasoning Models Evaluating Copyright Takedown Methods for Language Models

Reference 37

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:10.239286Z digest=sha256:b942d8a703efd61d9dc6d7e4a431434696e0ff02e083330a555a87489067ea01

Observation 9ee976a7-8ba6-431c-a24e-386b07669022 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-08-07T15:26:10.380702Z digest=sha256:60df6a50a84dc2d44a1fd756421a8922381764e5e2600380852a561728e64e79

Observation 61ae2b76-6e43-479a-b3ce-c71f64241c95 · outbound

This paper cites Machine Unlearning of Pre-trained Large Language Models.

R-TOFU: Unlearning in Large Reasoning Models Machine Unlearning of Pre-trained Large Language Models

Reference 39

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source=arxiv_source observed=2026-08-07T15:26:10.541788Z digest=sha256:798321c7d1acd4ec7cb5c99ee6a7a9c7a0437fdb638e90938cb109d9fb2632bb

Observation 87ffdb2d-3520-4327-b33d-cd7c27086177 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c0c8c3dc-9271-4952-b435-f5d452334e4e · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 41

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no resolver link, observed 2026-08-07T15:26:10.866090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:10.866090Z digest=sha256:201ebf5c2108261905abb24cd1891258e49e28e8c6ecb71d20e143f56edf9d2a

Observation 051eefa9-b46c-40f7-bffc-c80ee2c33255 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:10.970590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:10.970590Z digest=sha256:04b12a205d2833d2943589464ab8f57f7fe4e75bb7c901994d8d0a14c6e0f798

Observation 27eea761-03b6-4d24-9f05-9f33b9d60b02 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:12.442577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 1cc40fdb-8a14-43a4-a365-f4c2c491fe0d · outbound

This paper cites Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions.

R-TOFU: Unlearning in Large Reasoning Models Perceive, Reflect, and Plan: Designing LLM Agent for Goal-Directed City Navigation without Instructions

Reference 44

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unresolved
no resolver link, observed 2026-08-07T15:26:11.221729Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T15:26:11.221729Z digest=sha256:f2c57799e92e74e25f96f15c072438b945ede003b2d6cc668acd9be791845bf9

Observation 0c8ba810-e34a-4669-9f8b-edb9db5d5cc4 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:11.268343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:11.268343Z digest=sha256:1ba549f1d4e7c52ef7e7cbb6e3b83c9b9c2f461ad1d9cfcbd19c4cfbe1e0ea46

Observation b26a7dbb-23e0-4475-8617-d00f8e24b662 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:12.207701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 38edddb5-2b9c-490a-a7d1-7ff0084e47f3 · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T15:26:12.001845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-07T15:26:11.365385Z digest=sha256:b05bceea95442ea238a014ce2dea6f5a676e629a99b71fea19e2137563d63e2d

Observation 3240be07-d2df-4b0b-be42-65f2c8c8a3be · outbound

This paper cites an unresolved cited work.

R-TOFU: Unlearning in Large Reasoning Models Unresolved cited work

Reference 48

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unresolved
no resolver link, observed 2026-08-07T15:26:11.409573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:26:11.409573Z digest=sha256:978693210b03c9e3b41b64a93587a38554f3ea6321485313cd7e652530aa983b

Pith citing papers

Observation d080b8fc-8655-45a8-9e30-aabc48d86a39 · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models R-TOFU: Unlearning in Large Reasoning Models

Reference 112

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unresolved
no resolver link, observed 2026-08-07T04:58:59.134767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:59.134767Z digest=sha256:221f3e8e72d2b685183d6428a2a2fc8a007d7223af250ef8b45568ce196ac1a5

Observation 9baf45b4-6b44-44e2-84f2-b7243c4134f7 · inbound

R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge cites this paper.

R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge R-TOFU: Unlearning in Large Reasoning Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T10:18:26.115945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:18:26.115945Z digest=sha256:2c5713a1bce7e89bbb0c102c07ed8504f1f639a7fb971d99cecef066c41fda8b

Observation 8e923aa9-1dcb-4b6e-8f4b-8836bfd69838 · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models R-TOFU: Unlearning in Large Reasoning Models

Reference 213

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unresolved
no resolver link, observed 2026-08-05T10:39:08.013818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:39:08.013818Z digest=sha256:a5bf6365e0b79b3c44a2bd6c08c3168b3bfa6c59e55e79f7273dd53170a34039

Observation f44d64b3-2237-41d5-ab3c-36af01e0feef · inbound

Selective Forgetting for Large Reasoning Models cites this paper.

Selective Forgetting for Large Reasoning Models R-TOFU: Unlearning in Large Reasoning Models

Reference 23

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unresolved
no resolver link, observed 2026-07-13T13:01:23.728846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T13:01:23.728846Z digest=sha256:fd405b46fcb36b7b139eacbfedd89fc6a7618f81e79b329a908aa3bdb6400339

Observation 3556dd89-0f16-4f49-997b-bec3617e4151 · inbound

Reasoning Structure Matters for Safety Alignment of Reasoning Models cites this paper.

Reasoning Structure Matters for Safety Alignment of Reasoning Models R-TOFU: Unlearning in Large Reasoning Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:56:04.217531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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