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Paper Citation Record · LEDGER

Implicit Reasoning Steering via Concept Chaining

As of 19 August 2026, this Paper Citation Record lists 100 of 166 outbound references and 0 inbound Pith citation observations for arXiv:2607.14242.

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

pith.paper-citation-record.v1
2607.14242 v1

Coverage vector

measured 100 of 166 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:44:32.716487Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 166 outbound references displayed

  • verified exact6
  • verified fuzzy0
  • unresolved94
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d5d7c9e-e594-4bf4-89e4-ff39b2fde6ec · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Implicit Reasoning Steering via Concept Chaining Advances in Neural Information Processing Systems , volume =

Reference 1

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source=arxiv_source observed=2026-08-02T02:44:19.403160Z digest=sha256:183c6d23806205215ea1dcffaa3450fa91144674ed027ee9891f25160cc59a8e

Observation c0f22c13-40ea-479d-ae34-9c0020aae006 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Implicit Reasoning Steering via Concept Chaining Large Language Models are Zero-Shot Reasoners

Reference 2

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source=arxiv_source observed=2026-08-02T02:44:19.443084Z digest=sha256:de70d1be76afb7c3df12e18f1d75170ae2e9e1f3035962f972389e91009f0453

Observation a48bf161-6e3c-42c1-9163-4f7938921b3a · outbound

This paper cites The Eleventh International Conference on Learning Representations , year =.

Implicit Reasoning Steering via Concept Chaining The Eleventh International Conference on Learning Representations , year =

Reference 3

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Observation 04bd7a64-216b-4c32-a26c-61ceb45ba228 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Implicit Reasoning Steering via Concept Chaining Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 4

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source=arxiv_source observed=2026-08-02T02:44:19.564600Z digest=sha256:5df5129da10b1f984da206674ea2b147a5c635bea2df9c33ab2a1f0232570655

Observation 3dfb341f-85ca-42dd-a36f-2be4e658652f · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Implicit Reasoning Steering via Concept Chaining Advances in Neural Information Processing Systems , volume =

Reference 5

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source=arxiv_source observed=2026-08-02T02:44:19.634949Z digest=sha256:a4b35de503283098cd7cde6c430fb1a9ed21b4cd75ad43a79849a0c61950ac84

Observation 45e0c3b2-0580-4d5f-bf94-6b9862342eeb · outbound

This paper cites Let's Verify Step by Step.

Implicit Reasoning Steering via Concept Chaining Let's Verify Step by Step

Reference 6

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source=arxiv_source observed=2026-08-02T02:44:19.687143Z digest=sha256:d43b1564d1bd406fa6d1cf03114565a3b353c1693c77eb2012b82401d051a2ce

Observation 0296d31e-d4eb-485f-877b-0a77f59a65a5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume =.

Implicit Reasoning Steering via Concept Chaining Advances in Neural Information Processing Systems , volume =

Reference 7

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Observation 6d44890a-1f30-4035-83a3-318818445dd6 · outbound

This paper cites Proceedings of the 38th International Conference on Machine Learning , series =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 38th International Conference on Machine Learning , series =

Reference 8

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source=arxiv_source observed=2026-08-02T02:44:19.836881Z digest=sha256:1daf01e88060b2ffa73f668c6ee39fee20d19c0f20761287620fe0d3563cb4c0

Observation 683e4bb8-2c40-46a8-afa7-ce3875aa60c2 · outbound

This paper cites Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

Reference 9

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Observation 676d46d2-ed94-4827-9275-2698a9135749 · outbound

This paper cites Findings of the Association for Computational Linguistics: NAACL 2024 , pages =.

Implicit Reasoning Steering via Concept Chaining Findings of the Association for Computational Linguistics: NAACL 2024 , pages =

Reference 10

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Observation a1302f78-671c-4dca-aabb-5836cc414b6d · outbound

This paper cites Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How.

Implicit Reasoning Steering via Concept Chaining Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How

Reference 11

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Observation f1a3b64e-91c7-4f47-a5a7-f1a6d46e3ed2 · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2024 , pages =.

Implicit Reasoning Steering via Concept Chaining Findings of the Association for Computational Linguistics: ACL 2024 , pages =

Reference 12

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Observation 8d8d87e8-90a4-44d9-89bc-17f43b4b1061 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

Reference 13

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Observation 98bfb647-c74f-4e00-9ca8-09ac56002d21 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Implicit Reasoning Steering via Concept Chaining Language Models (Mostly) Know What They Know

Reference 14

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Observation cdfbbef7-76b0-48fd-91df-4c47cb3a2a88 · outbound

This paper cites Transactions on Machine Learning Research , year =.

Implicit Reasoning Steering via Concept Chaining Transactions on Machine Learning Research , year =

Reference 15

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Observation 1b1b6c6f-00e4-4f06-a80b-d6e389e05d21 · outbound

This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Implicit Reasoning Steering via Concept Chaining Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 16

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Observation 3aa3dc71-3fcd-440b-b9c3-fbbf27b9cb1e · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

Reference 17

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Observation 5e8f9b74-392d-496a-83ab-78fb00665200 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 18

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Observation c96af9d9-efda-456a-8ec5-554a5323c9ca · outbound

This paper cites Concealed Data Poisoning Attacks on.

Implicit Reasoning Steering via Concept Chaining Concealed Data Poisoning Attacks on

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f93b90c8-e45b-4b0f-9d6d-923bc09e95c4 · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 21

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Observation 28dd3085-02c5-4df8-847d-43977d6f3c0b · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 22

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Observation 4bab4ec2-567c-4940-b4c6-c84ebcc5a441 · outbound

This paper cites Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages =

Reference 23

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Observation 2d64d49e-efba-4f1f-9ca7-68ff09b0c45b · outbound

This paper cites Backdoor.

Implicit Reasoning Steering via Concept Chaining Backdoor

Reference 24

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source=arxiv_source observed=2026-08-02T02:44:20.898426Z digest=sha256:f85efc51dea3ee09cf7584168c16bb59fefe7fd78ad0db1d3f35e97184b5b0f0

Observation 97d3c640-46ca-4757-9fed-8e5acfb7bcb6 · outbound

This paper cites Editable Neural Networks.

Implicit Reasoning Steering via Concept Chaining Editable Neural Networks

Reference 25

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Observation 0e9efa88-2b35-4623-b805-b65bc35b08eb · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 26

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Observation 496018bd-e336-4464-bcdd-5d7128581c1c · outbound

This paper cites Locating and Editing Factual Associations in.

Implicit Reasoning Steering via Concept Chaining Locating and Editing Factual Associations in

Reference 28

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Observation 5ae9b515-49d3-43e8-8e73-f4b17685fe4d · outbound

This paper cites The Eleventh International Conference on Learning Representations , year =.

Implicit Reasoning Steering via Concept Chaining The Eleventh International Conference on Learning Representations , year =

Reference 29

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Observation 49fe5146-5eaa-4764-a98b-22745528093d · outbound

This paper cites Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 30

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Observation 36f917a6-1369-442e-b20f-066342035689 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year =.

Implicit Reasoning Steering via Concept Chaining The Thirteenth International Conference on Learning Representations , year =

Reference 31

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Observation a14e4247-3ba0-4fe6-8399-070cd62264e7 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages =

Reference 34

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verified exact
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c3eba215-9332-441c-b811-74a842372127 · outbound

This paper cites Making Retrieval-Augmented Language Models Robust to Irrelevant Context.

Implicit Reasoning Steering via Concept Chaining Making Retrieval-Augmented Language Models Robust to Irrelevant Context

Reference 43

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Observation d619eaba-bf26-4712-af13-c89f3d7fdb7f · outbound

This paper cites arXiv preprint arXiv:2505.18761 , doi =.

Implicit Reasoning Steering via Concept Chaining arXiv preprint arXiv:2505.18761 , doi =

Reference 44

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source=arxiv_source observed=2026-08-02T02:44:22.492304Z digest=sha256:80e14aed75ed2272fcd8f68da9b0eba38392464314da80126aa7a5b3865a5d1d

Observation bd5024cc-f644-4e05-92c0-1e7f1bbd6a80 · outbound

This paper cites GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers.

Implicit Reasoning Steering via Concept Chaining GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers

Reference 45

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Observation 32d1364f-0811-4c0b-b22c-bc37564cea51 · outbound

This paper cites RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models.

Implicit Reasoning Steering via Concept Chaining RUPBench: Benchmarking Reasoning Under Perturbations for Robustness Evaluation in Large Language Models

Reference 46

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source=arxiv_source observed=2026-08-02T02:44:22.745849Z digest=sha256:15f583f9133351274d785a756815cf61dd72ede1cb5d3e3741dbf5fab302c2ff

Observation 111646d4-7761-4f7b-982f-73e1adbb91ba · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Implicit Reasoning Steering via Concept Chaining GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 47

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Observation 07a6f5f0-324f-4787-9690-08dd164475b6 · outbound

This paper cites Benchmarking Reasoning Robustness in Large Language Models.

Implicit Reasoning Steering via Concept Chaining Benchmarking Reasoning Robustness in Large Language Models

Reference 48

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Observation 18ba2b69-a297-41b0-961f-69ac2224f326 · outbound

This paper cites A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners.

Implicit Reasoning Steering via Concept Chaining A Peek into Token Bias: Large Language Models Are Not Yet Genuine Reasoners

Reference 49

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source=arxiv_source observed=2026-08-02T02:44:23.130190Z digest=sha256:f2064273d9c95487046279daab6e556ecedbacdb3c6b51b36f8368ac10ec78d7

Observation f0234135-b797-4f97-a3fa-b3c2f8bac4f3 · outbound

This paper cites Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?.

Implicit Reasoning Steering via Concept Chaining Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?

Reference 50

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source=arxiv_source observed=2026-08-02T02:44:23.289830Z digest=sha256:df6c887a086c98080632f82c12bcf1a41e53970939cf17f79830454b4e1fa290

Observation 3c8fbe66-e180-4e90-9a05-d07528f27950 · outbound

This paper cites Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption.

Implicit Reasoning Steering via Concept Chaining Chain-of-Defensive-Thought: Structured Reasoning Elicits Robustness in Large Language Models against Reference Corruption

Reference 51

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source=arxiv_source observed=2026-08-02T02:44:23.431596Z digest=sha256:38f6aad33702bdfced063fb2eba68a4e39d55b20acf91aa5a5c68319e834e436

Observation a972b336-6153-472e-8e14-8833cb8e06c7 · outbound

This paper cites Knowledge Editing for Large Language Models: A Survey.

Implicit Reasoning Steering via Concept Chaining Knowledge Editing for Large Language Models: A Survey

Reference 52

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source=arxiv_source observed=2026-08-02T02:44:23.583359Z digest=sha256:2631cc0d751534c4bfaefbabe35b215aaa4203fe9de8d6c1ec5de7c038eb4c53

Observation 747a67ea-6753-4e42-9dca-639ceb15afe7 · outbound

This paper cites A Comprehensive Study of Knowledge Editing for Large Language Models.

Implicit Reasoning Steering via Concept Chaining A Comprehensive Study of Knowledge Editing for Large Language Models

Reference 53

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source=arxiv_source observed=2026-08-02T02:44:23.751691Z digest=sha256:ad1618e570237f0666123f1c710f557419b55b53e19e936e97b7ac221af8a68b

Observation 214663bc-f96e-46c6-9e4b-eb5d765ee7c6 · outbound

This paper cites Fast Model Editing at Scale.

Implicit Reasoning Steering via Concept Chaining Fast Model Editing at Scale

Reference 54

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source=arxiv_source observed=2026-08-02T02:44:23.881063Z digest=sha256:4d8fae8cdb58e1f9ed37541592b88de3ed582a94f7093705b241af3681c722bb

Observation a48d0e73-0663-4ad3-a199-2279691b0176 · outbound

This paper cites MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions.

Implicit Reasoning Steering via Concept Chaining MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

Reference 55

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source=arxiv_source observed=2026-08-02T02:44:24.050573Z digest=sha256:3658acf832e5f18538c837701e4ed9b7f3863792b515fb1faa9584ab810c79a6

Observation 4ea56cab-a476-4e17-9123-bce7d91f0d66 · outbound

This paper cites Robust and Scalable Model Editing for Large Language Models.

Implicit Reasoning Steering via Concept Chaining Robust and Scalable Model Editing for Large Language Models

Reference 56

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source=arxiv_source observed=2026-08-02T02:44:24.179578Z digest=sha256:21203b4bd6e19099670ffe30a46dd962797bb0e2d5d57bc9c521d924e67bbc97

Observation 08bb3d49-6895-4345-b65e-937f6f547146 · outbound

This paper cites WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models.

Implicit Reasoning Steering via Concept Chaining WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models

Reference 57

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source=arxiv_source observed=2026-08-02T02:44:24.248727Z digest=sha256:aba4ea81412936614045b55a2d60071f425c0fdcd6a0b5c231db8afbd4233400

Observation 1ad5834b-4c53-48e8-b766-ede031438ef3 · outbound

This paper cites AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

Implicit Reasoning Steering via Concept Chaining AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Reference 58

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source=arxiv_source observed=2026-08-02T02:44:24.347528Z digest=sha256:1caa7b85c58235c88917020476c0040938ccb61495215a4e1da1a0b90a3523e0

Observation 1fd69149-baa8-417a-ae9f-fedb9a8e3f38 · outbound

This paper cites AKEW: Assessing Knowledge Editing in the Wild.

Implicit Reasoning Steering via Concept Chaining AKEW: Assessing Knowledge Editing in the Wild

Reference 59

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source=arxiv_source observed=2026-08-02T02:44:24.449064Z digest=sha256:820f35e7a5ed12cfa027227f58968abcb6d99444a3e4b245e44c0246cec23d68

Observation dc545a2e-35f4-4f94-9215-d44251c25724 · outbound

This paper cites arXiv preprint arXiv:2502.05628 , doi =.

Implicit Reasoning Steering via Concept Chaining arXiv preprint arXiv:2502.05628 , doi =

Reference 60

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source=arxiv_source observed=2026-08-02T02:44:24.517944Z digest=sha256:e48e53e322d20b63fcc246598f44863827711dda410356935d4e2c9c5cbd401b

Observation 5566430d-eb6f-468b-be4b-aeaa5976f85d · outbound

This paper cites $\mu$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models.

Implicit Reasoning Steering via Concept Chaining $\mu$KE: Matryoshka Unstructured Knowledge Editing of Large Language Models

Reference 61

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source=arxiv_source observed=2026-08-02T02:44:24.644559Z digest=sha256:e8375cff6857729f56fcf3ce4e745d3d75841e1fde3ab959867f07eec3644c71

Observation 8f5a7802-527d-4bf5-bac9-c36c90a6aee4 · outbound

This paper cites Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data.

Implicit Reasoning Steering via Concept Chaining Is Fine-Tuning an Effective Solution? Reassessing Knowledge Editing for Unstructured Data

Reference 62

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source=arxiv_source observed=2026-08-02T02:44:24.701553Z digest=sha256:739f69f087ef5d90959a647d15189e4dda36df19037afd5559d6e5ce9e62e432

Observation aab38350-27b1-487e-a514-93119a04621e · outbound

This paper cites arXiv preprint arXiv:2602.19043 , doi =.

Implicit Reasoning Steering via Concept Chaining arXiv preprint arXiv:2602.19043 , doi =

Reference 63

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source=arxiv_source observed=2026-08-02T02:44:24.798749Z digest=sha256:5ce32391b6b1260095626627fd57b0a30b2c88b921d2819a28d2f953fdd3a90e

Observation eebb4925-6b34-4141-8f59-3703e9d6b995 · outbound

This paper cites Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs.

Implicit Reasoning Steering via Concept Chaining Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs

Reference 64

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source=arxiv_source observed=2026-08-02T02:44:24.903786Z digest=sha256:64a4bb1a2a7e2d5ee276a77fdecee09d49ef6179b5b988edd51291f9c314dfdc

Observation f513aa0d-4dbe-43ab-94e3-5eca6ebb1f62 · outbound

This paper cites Identifying Knowledge Editing Types in Large Language Models.

Implicit Reasoning Steering via Concept Chaining Identifying Knowledge Editing Types in Large Language Models

Reference 66

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source=arxiv_source observed=2026-08-02T02:44:25.137957Z digest=sha256:14f25f28a3a24079937b267cb8547e73e3bfaee548c9f135475fa619f3b2c6da

Observation 46a8e890-3236-47e1-8aae-3556ae8c49e7 · outbound

This paper cites Stealth edits to large language models.

Implicit Reasoning Steering via Concept Chaining Stealth edits to large language models

Reference 69

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source=arxiv_source observed=2026-08-02T02:44:25.513969Z digest=sha256:a664a93f12073615c6a2a1afff2aad102b1c830ec32b0f3dba4bf4b33a85bf5f

Observation 8db8b5d7-215b-4947-b27c-b9f0ae1d66f3 · outbound

This paper cites 2021 , pages =.

Implicit Reasoning Steering via Concept Chaining 2021 , pages =

Reference 70

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source=arxiv_source observed=2026-08-02T02:44:25.644847Z digest=sha256:0370a9d58038885f04d68aa0324ae561dfe623d7453c328d98fbe27511221b8b

Observation b17f4eed-e066-42aa-aaa5-2b8fb0a625dd · outbound

This paper cites Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models.

Implicit Reasoning Steering via Concept Chaining Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models

Reference 72

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source=arxiv_source observed=2026-08-02T02:44:25.902898Z digest=sha256:161d3a6231c637c2424db758455bbe8a8b2a659e1425b00fd135af1b63204291

Observation c4694119-f0e5-41d7-996e-3a27c6dcf913 · outbound

This paper cites Automated Detection of Pre-training Text in Black-box LLMs.

Implicit Reasoning Steering via Concept Chaining Automated Detection of Pre-training Text in Black-box LLMs

Reference 73

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source=arxiv_source observed=2026-08-02T02:44:26.030025Z digest=sha256:325cfd6b3a0ddb8c23025e4879c900aeba34e5d7c6ca486e6b2f68a71cee0efa

Observation 83d4ab12-1ac6-4cf4-9491-9c3649d0dc75 · outbound

This paper cites Copyright Traps for Large Language Models.

Implicit Reasoning Steering via Concept Chaining Copyright Traps for Large Language Models

Reference 74

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source=arxiv_source observed=2026-08-02T02:44:26.128420Z digest=sha256:1e27efcdea7231a21f1293a80b1382bec20da8e65b27901d7d6f563243200010

Observation 39f124bf-3130-473b-b751-d411733e6fce · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

Implicit Reasoning Steering via Concept Chaining Do Membership Inference Attacks Work on Large Language Models?

Reference 75

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source=arxiv_source observed=2026-08-02T02:44:26.241104Z digest=sha256:b6b69b083ce0ca7f83c0fb6ab546acb073cd2354988243c3f85cded1a6136bdb

Observation 792b38e9-8e3c-47d9-b8d2-9713666ad140 · outbound

This paper cites Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models.

Implicit Reasoning Steering via Concept Chaining Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models

Reference 76

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source=arxiv_source observed=2026-08-02T02:44:26.331821Z digest=sha256:a76d78994c69b76e63e7d126d5428ce13b8f9f788c56c756543ff24c84ab5750

Observation ec15c5a6-b244-4d81-b535-5e547fee5db0 · outbound

This paper cites A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models.

Implicit Reasoning Steering via Concept Chaining A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models

Reference 77

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source=arxiv_source observed=2026-08-02T02:44:26.471405Z digest=sha256:aa4360be6e298684a4c2d35392e649ae5a4e16ec474ea0185f3471689a72882b

Observation e5d72567-be03-498e-8b59-46c5108ae70d · outbound

This paper cites an unresolved cited work.

Implicit Reasoning Steering via Concept Chaining Unresolved cited work

Reference 78

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source=arxiv_source observed=2026-08-02T02:44:26.600187Z digest=sha256:7acb83fb7f7c68404adfc0f2ccdcc7ff0f2ca0c4bc19b89a3faf9abeb5cae776

Observation 1c04a9a0-8acf-4539-81e7-2aae2cb6fc14 · outbound

This paper cites arXiv preprint arXiv:2601.02751 , doi =.

Implicit Reasoning Steering via Concept Chaining arXiv preprint arXiv:2601.02751 , doi =

Reference 79

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source=arxiv_source observed=2026-08-02T02:44:26.739790Z digest=sha256:8839bab90ddb88a24d22c7b24e36f8c15c628b0d637f7df1613cc9abc04696bb

Observation 300dba33-ed9d-4f03-b3b9-860171231052 · outbound

This paper cites Sequence-Level Leakage Risk of Training Data in Large Language Models.

Implicit Reasoning Steering via Concept Chaining Sequence-Level Leakage Risk of Training Data in Large Language Models

Reference 80

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source=arxiv_source observed=2026-08-02T02:44:26.834349Z digest=sha256:2e936849ba05ee126f67cb4ee4d36d1176346d883acdce17f460251ba6d76035

Observation ab8108b8-f525-4f60-a01f-510b35f97c70 · outbound

This paper cites arXiv preprint arXiv:2410.02650 , doi =.

Implicit Reasoning Steering via Concept Chaining arXiv preprint arXiv:2410.02650 , doi =

Reference 81

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source=arxiv_source observed=2026-08-02T02:44:26.967171Z digest=sha256:5cac63b89ff12c926937bd32bb94b00576f0471c27653b0a6501881dced81fae

Observation 5610a39f-a2c1-454b-9793-b418833a4264 · outbound

This paper cites A Survey on Privacy Risks and Protection in Large Language Models.

Implicit Reasoning Steering via Concept Chaining A Survey on Privacy Risks and Protection in Large Language Models

Reference 82

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source=arxiv_source observed=2026-08-02T02:44:27.110686Z digest=sha256:9f1093790b972300de25c34cd9e7c7e4ee114567414dd5d678b307fa8fb6e5cc

Observation 4f38d4e1-35bf-4fb5-8aeb-9a56cf8dd4f6 · outbound

This paper cites Nature , volume =.

Implicit Reasoning Steering via Concept Chaining Nature , volume =

Reference 83

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source=arxiv_source observed=2026-08-02T02:44:27.217833Z digest=sha256:08bf5c1d7e812fcda07cb00d18ce35e220d7fd733af70e1b3647e1370322c0f6

Observation 9dec7f79-f8a7-4a51-a324-5d05486808c2 · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , series =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 40th International Conference on Machine Learning , series =

Reference 86

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source=arxiv_source observed=2026-08-02T02:44:27.566622Z digest=sha256:da1e91e2467169548839f8d5535bf88163258ddeab71dd3aa22f486d033c2860

Observation ea338b66-4df2-466f-96a9-4c856b347d2a · outbound

This paper cites 2025 , howpublished =.

Implicit Reasoning Steering via Concept Chaining 2025 , howpublished =

Reference 94

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source=arxiv_source observed=2026-08-02T02:44:28.409789Z digest=sha256:3b63cb4569865abf0d7e121b9745e432678d27b63f19961e2dd92901d5ffc9a8

Observation 6a5d1c3d-8f44-46f0-b2f8-52066b176550 · outbound

This paper cites 2024 , eprint=.

Implicit Reasoning Steering via Concept Chaining 2024 , eprint=

Reference 95

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source=arxiv_source observed=2026-08-02T02:44:28.574000Z digest=sha256:a2ddf957ca8122bd76990a49cb8c576fe0299e6d7c9fa563148654cf3444a3e4

Observation 05f650d5-71fb-4f45-90e4-7b591de4a4f3 · outbound

This paper cites 2025 , eprint=.

Implicit Reasoning Steering via Concept Chaining 2025 , eprint=

Reference 96

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source=arxiv_source observed=2026-08-02T02:44:28.700047Z digest=sha256:1484fbf1640779d4c241bf9a061cd03eb156943e3681a27aec835fcd24dd1d61

Observation 8a22889d-a809-4ef6-b578-7765e849e4fc · outbound

This paper cites 2025 , eprint=.

Implicit Reasoning Steering via Concept Chaining 2025 , eprint=

Reference 97

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source=arxiv_source observed=2026-08-02T02:44:28.792601Z digest=sha256:692d8f79a8462916763431a3f1c5d5e1ea95c6324165f8c353ddb8e0ef583cf3

Observation 420926a2-cc65-40b1-938a-e755f0f3528d · outbound

This paper cites 2025 , eprint=.

Implicit Reasoning Steering via Concept Chaining 2025 , eprint=

Reference 98

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source=arxiv_source observed=2026-08-02T02:44:28.960798Z digest=sha256:ba9bc813eb8a55f86dfecac0a3e3eb546ae1b4506fad9fb51afe044544761499

Observation ebbb8fad-5fd9-475b-8d4a-92d875defd83 · outbound

This paper cites 2024 , eprint=.

Implicit Reasoning Steering via Concept Chaining 2024 , eprint=

Reference 99

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source=arxiv_source observed=2026-08-02T02:44:29.070921Z digest=sha256:15ef2b356215ee6112536df905bfc8ca658f3517cb3d454a6d14bae2d025b0f6

Observation e2f4ffc9-06db-4641-b90c-6c2988d97897 · outbound

This paper cites 2025 , eprint=.

Implicit Reasoning Steering via Concept Chaining 2025 , eprint=

Reference 100

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source=arxiv_source observed=2026-08-02T02:44:29.146870Z digest=sha256:e14cd0527bf72ef97174efd9de8d2c733d50582aeb556949b7a3229bbb1943bd

Observation e8388f43-e837-4fab-b7d4-631cfe899f94 · outbound

This paper cites 2020 , eprint=.

Implicit Reasoning Steering via Concept Chaining 2020 , eprint=

Reference 101

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source=arxiv_source observed=2026-08-02T02:44:29.191276Z digest=sha256:036744e56e8ce545d380f2c1c9f434383ebef6d4452d190f88ccfe34f1114729

Observation fdacf7cb-31ff-4678-b4d5-ea72d7244810 · outbound

This paper cites Bowman , title =.

Implicit Reasoning Steering via Concept Chaining Bowman , title =

Reference 102

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source=arxiv_source observed=2026-08-02T02:44:29.248603Z digest=sha256:75e4bbf3044cfdd6e0dc27fc14af867793bca959e572366b787bd82ccc58d86a

Observation be766e2a-43d3-4e8a-9204-91520b18337f · outbound

This paper cites Bowman and Ethan Perez , title =.

Implicit Reasoning Steering via Concept Chaining Bowman and Ethan Perez , title =

Reference 103

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source=arxiv_source observed=2026-08-02T02:44:29.302297Z digest=sha256:85c27eb9db4369690214c49f42aa2cf0e8022e29008ea019652d60e12560e606

Observation 241796c9-0d3d-4b02-b4ea-1a9bf18c18da · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages =

Reference 106

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Observation ad5591f8-4545-482e-b0f1-1799dfac2551 · outbound

This paper cites Nature Computational Science , volume =.

Implicit Reasoning Steering via Concept Chaining Nature Computational Science , volume =

Reference 107

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source=arxiv_source observed=2026-08-02T02:44:29.775236Z digest=sha256:de9880495fc7b3253b9f720d03d876a4fa928f27e31a5b2f1f0f0da67054828f

Observation 16749e7a-5ae3-4476-b346-92f0b92bbf5d · outbound

This paper cites an unresolved cited work.

Implicit Reasoning Steering via Concept Chaining Unresolved cited work

Reference 108

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Observation afcf56af-58e7-4831-8a3e-bfdc4ca9d074 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

Implicit Reasoning Steering via Concept Chaining Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 109

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source=arxiv_source observed=2026-08-02T02:44:30.076779Z digest=sha256:bd8e38c1dad08e278e0b543888cee9ce159dbb3360e7d58d375c3e1336c58251

Observation 9193508f-4dfc-4bcb-97b4-761b5e599710 · outbound

This paper cites Think you have Solved Question Answering? Try.

Implicit Reasoning Steering via Concept Chaining Think you have Solved Question Answering? Try

Reference 110

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source=arxiv_source observed=2026-08-02T02:44:30.253926Z digest=sha256:3c913eb926169b26d45ba79e6599ff2816937b626590926ecb7fdc0e3dce998f

Observation d7f20b84-2fbb-43c0-a06a-b260e7c54f7f · outbound

This paper cites 2025 , eprint=.

Implicit Reasoning Steering via Concept Chaining 2025 , eprint=

Reference 111

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source=arxiv_source observed=2026-08-02T02:44:30.427886Z digest=sha256:cb57a6bec4d4105abb5982c8998a6211cd079d71004e307a9a89786d0b781d48

Observation 3bf82d1e-0520-48fe-aa7b-7d609f8fc0a2 · outbound

This paper cites 2025 , eprint=.

Implicit Reasoning Steering via Concept Chaining 2025 , eprint=

Reference 112

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source=arxiv_source observed=2026-08-02T02:44:30.580849Z digest=sha256:0048bdf95241f22c61e98ef19c468e64ceca0843b84810619d5966d40a39491f

Observation d8adfab9-1277-435e-82ba-12d11cc85c9f · outbound

This paper cites Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models.

Implicit Reasoning Steering via Concept Chaining Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models

Reference 113

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source=arxiv_source observed=2026-08-02T02:44:30.732380Z digest=sha256:2f50ad19b908cab438afd096c709b8001bfd2657f2d4256abc94da9918674b26

Observation 78ad57b9-34ea-4193-b90b-0fec820f777a · outbound

This paper cites Extracting Training Data from Large Language Models.

Implicit Reasoning Steering via Concept Chaining Extracting Training Data from Large Language Models

Reference 114

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source=arxiv_source observed=2026-08-02T02:44:30.861211Z digest=sha256:7e637eeadc550a13768c11fe20f4fe4955278ee185f959c8515fafa38335acc6

Observation 6bd2cdeb-0d42-4a8f-95a7-c18c89ef3daa · outbound

This paper cites A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models.

Implicit Reasoning Steering via Concept Chaining A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models

Reference 115

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verified exact
local_arxiv, observed 2026-08-02T02:48:32.815731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-02T02:44:30.944046Z digest=sha256:55013cdf818e56697b729e6e55c9810036f2e661447da0753ca335f53576491c

Observation 4d52f762-7f6a-4327-8ddc-a642e4ed3cf5 · outbound

This paper cites A Survey on Privacy Risks and Protection in Large Language Models.

Implicit Reasoning Steering via Concept Chaining A Survey on Privacy Risks and Protection in Large Language Models

Reference 116

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source=arxiv_source observed=2026-08-02T02:44:31.035205Z digest=sha256:6ac241ea9319fd1f6d922cd81f9ad3f87ad1a6b577b73f53a77bc8da65faa42e

Observation 20b5faf4-9745-4680-adc9-4b7e735afcaf · outbound

This paper cites Robust and Scalable Model Editing for Large Language Models.

Implicit Reasoning Steering via Concept Chaining Robust and Scalable Model Editing for Large Language Models

Reference 117

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local_arxiv, observed 2026-08-02T02:48:32.700210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-02T02:44:31.180438Z digest=sha256:ab3a4cf2dc433210fed4ceb9fb4d742540a6fa77dffc2613c5d3c65f86279646

Observation 5cd02f4b-f2a8-4f02-aebd-f713b007bf78 · outbound

This paper cites Window-based Membership Inference Attacks Against Fine-tuned Large Language Models.

Implicit Reasoning Steering via Concept Chaining Window-based Membership Inference Attacks Against Fine-tuned Large Language Models

Reference 118

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source=arxiv_source observed=2026-08-02T02:44:31.332325Z digest=sha256:e0fc5f182083e681aea3ae4ba9b1d05f083b0004ba5f037288f4fe799f5f8e5a

Observation 9cc3b65a-fd5b-497a-95f9-b9182c989f04 · outbound

This paper cites Boolq: Exploring the surprising difficulty of natural yes/no questions.

Implicit Reasoning Steering via Concept Chaining Boolq: Exploring the surprising difficulty of natural yes/no questions

Reference 119

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source=arxiv_source observed=2026-08-02T02:44:31.481807Z digest=sha256:d00761eed7fb4c75acfeeb76d5dc92bfa3cd0d480d3a161be5ffd26b567e6b84

Observation aa59c2cb-a3fa-48b6-b759-ea7682e4cb0c · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Implicit Reasoning Steering via Concept Chaining Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 120

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source=arxiv_source observed=2026-08-02T02:44:31.650188Z digest=sha256:98a56e5563b816d3c71492c84696876cb664b118a85d849b7f33f3482567aa57

Observation 57899e77-3d45-47e8-83fa-c02ef4e5a163 · outbound

This paper cites Everything is editable: Extend knowledge editing to unstructured data in large language models.

Implicit Reasoning Steering via Concept Chaining Everything is editable: Extend knowledge editing to unstructured data in large language models

Reference 121

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source=arxiv_source observed=2026-08-02T02:44:31.808969Z digest=sha256:5b6d5c3638e66084b26af79a97c8ba2ec186641a5129bc508ade86a933152d8f

Observation 389c5132-c9a4-480b-9768-f7e34dd9604c · outbound

This paper cites Do Membership Inference Attacks Work on Large Language Models?.

Implicit Reasoning Steering via Concept Chaining Do Membership Inference Attacks Work on Large Language Models?

Reference 122

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source=arxiv_source observed=2026-08-02T02:44:31.981486Z digest=sha256:102c4bd90ca5b4c7ab5e4f483def0bed3d2fa868d5a3bdd2cd23878702b168b8

Observation 44ab00fd-c7a5-4389-98eb-1c9156d2b67e · outbound

This paper cites AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.

Implicit Reasoning Steering via Concept Chaining AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Reference 123

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source=arxiv_source observed=2026-08-02T02:44:32.106762Z digest=sha256:28d43b4ec780233ca5397720e6eb12291863f75c0babbd802f73ba191b7c037d

Observation af6757fa-07ec-496a-afab-7ca0e75a2e00 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

Implicit Reasoning Steering via Concept Chaining Detecting hallucinations in large language models using semantic entropy

Reference 124

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source=arxiv_source observed=2026-08-02T02:44:32.275244Z digest=sha256:f0edd3c27025594bc318c989da7d074a6feb097d8dba4ce4a145ce5ee5561fba

Observation 82842592-9453-44fc-9f50-0266305d7deb · outbound

This paper cites Triggerless backdoor attack for NLP tasks with clean labels.

Implicit Reasoning Steering via Concept Chaining Triggerless backdoor attack for NLP tasks with clean labels

Reference 125

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doi, observed 2026-08-02T02:48:33.300822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-02T02:44:32.391291Z digest=sha256:15d2c240fb1f0e75c77985d6beb85594914991be58bfde93d1f8f35677c5a1c4

Observation 39372a77-fd24-4a1c-864b-211a2702a020 · outbound

This paper cites Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies.

Implicit Reasoning Steering via Concept Chaining Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

Reference 126

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T02:44:32.568974Z digest=sha256:56556293505c46bdd1ca0ff692b50cb46f6c8121fedb7d8e4386950313ae39e2

Observation 8d989af9-c956-4135-b3e2-dad21edb290f · outbound

This paper cites Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in chatgpt.

Implicit Reasoning Steering via Concept Chaining Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in chatgpt

Reference 127

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source=arxiv_source observed=2026-08-02T02:44:32.716487Z digest=sha256:e04c3429ed3e4aa908c6b8dff7560b627a52e98559dd0c316d1e347a0330480c

Pith citing papers

No inbound Pith citation observations are available.