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Paper Citation Record · LEDGER

R-TOFU: Unlearning in Large Reasoning Models

As of 8 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 2026-08-08T06:32:00.761636+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=sha256:90c79ef6acda055ca97be7c4670fcec17fd5df09601f44a76d8dba88aa6824e1

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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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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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:26:07.739957Z digest=sha256:38de7f16a50d6e0dfef4a3d0dc06aed7ecd1d9afc0e7fab91d53140c53468007

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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source=arxiv_source observed=2026-08-07T15:26:07.906308Z digest=sha256:f75db8fef6c79ec07e05327283bad0230d22b9ab30e13db25941e1cd95982a23

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:26:07.990044Z digest=sha256:5cabfc7e84d0d34bc829c07d98b2d3d722a14c88291afde107158fde2c3dbe79

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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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:26:08.056732Z digest=sha256:106ff6694582b481b63ae9025f0ef9a71c50ac7cd78f9613f44b61dd9091af14

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=sha256:45397c22ba57e7354c2a9ed7ba68ba51219ccb85ebe759716fe3715417196e25

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:26:08.192667Z digest=sha256:c2191c82b41edb814395f5763ef2aa130c6143e319e7e5a9bd84cd6bebe9f6ed

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:b714f9efd0b42b981393ffddc04546635ef947489325cb089e5c853300c13aa2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:26:08.455023Z digest=sha256:6755ca574f4c52f4fd12e2b697bf164e4a9a10fefc4001c9b254cac3fd343bd4

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=sha256:97270ac9c60a0f7e129fe72cc6cb0acdf0c5c1126ba63009b2476ea27624ce15

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:b300e76e3125d0dd8dcb3a49534d35d8762326893754614aa9d9947eaf8ce0b6

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=sha256:16c90ad1bb6197b1e4a5ede40dc193c320579f4dd5cf9473c0525e951db1c1ca

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=sha256:1706ae4bfebe3569c495b424317e0ed4df08fa7a8f0b2d87fb48d29f55494002

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=sha256:01acf855c7879269cfe36ac1a04587521472c139e4b130ff30f8e296e266f2ec

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=sha256:838029422ca9932febe252cf1988a743f4d2ca917d67622cf632f41752c31038

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=sha256:52cb4564998e5715577fce124dbe3e2df46314c0a927265323643cfcefef94f2

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:e269f8e96afc0d8c4cda36a7c26e793ce26a68ef44d98aa03a2107cca66bcfcd

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=sha256:28e722055e45f4c6876d464de7a5ad395559c1206c49e1beaf75642b0844d3c2

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=sha256:4a5fa30f21aba98a0a3766e0e7cfbf137e7a7acd3f6c0e2ed81b04b634595bc9

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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source=arxiv_source observed=2026-08-07T15:26:10.122394Z digest=sha256:4faddcc0f0c74c4f3a35e9962df155b266d860568b8bf0d12cfb3e34a346acb2

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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source=arxiv_source observed=2026-08-07T15:26:10.239286Z digest=sha256:d6fc69c315ce71e2d23f3888700ec6b7eabb90a56d4b9ab01d3441ebf7719c14

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:aa34e7066253b128cc9e6957b781952a77b8ca4746f7216e91b8daacd2e80c5d

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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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

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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 2026-08-08T06:32:00.761636+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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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=sha256:80eb31c107f8f24ff4e9c45ef12d31bf51155f6415873d28c74e7b7e36024901

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 2026-08-08T06:32:00.761636+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

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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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T15:26:11.365385Z digest=sha256:d38ec5af05daea941b355f8c85e85a35c98708de790785543959a0b30c59b726

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.

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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 2026-08-08T06:32:00.761636+00:00.

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