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Paper Citation Record · LEDGER

Activation Steering for Chain-of-Thought Compression

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 8 inbound Pith citation observations for arXiv:2507.04742.

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

pith.paper-citation-record.v1
2507.04742 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:46:49.318109Z

measured 43 of 43 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T11:17:47.087931Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 6cf3c2cb-ab8c-4223-ac38-c833f1238765 · outbound

This paper cites An introduction to representation engineering: Activation steering.

Activation Steering for Chain-of-Thought Compression An introduction to representation engineering: Activation steering

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:46:52.556175Z

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 283751b2-55a1-4808-b0ca-5a056307d8eb · outbound

This paper cites Collective Thomson scattering in magnetized electron and positron pair plasma and the application to induced Compton scattering.

Activation Steering for Chain-of-Thought Compression Collective Thomson scattering in magnetized electron and positron pair plasma and the application to induced Compton scattering

Reference 2

Resolution
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local_arxiv, observed 2026-08-06T19:46:50.224069Z

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 ea4e4785-40b9-4ccf-9076-5d17287885e7 · outbound

This paper cites Mui, Silvio Savarese, Caiming Xiong, and Huan Wang.

Activation Steering for Chain-of-Thought Compression Mui, Silvio Savarese, Caiming Xiong, and Huan Wang

Reference 3

Resolution
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raw_fallback, observed 2026-08-06T19:46:52.435815Z

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=pdf_text observed=2026-08-06T19:46:46.393871Z digest=sha256:b4d476f4f15ffa4dbf68f9dd99ffd190d3b55e31427d03ae3ed7fa8eab511a1e

Observation d2188b88-9b99-4fc8-ac0c-5f154fcedbd1 · outbound

This paper cites Seal: Steer- able reasoning calibration of large language models for free.

Activation Steering for Chain-of-Thought Compression Seal: Steer- able reasoning calibration of large language models for free

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:46:46.535558Z digest=sha256:b8249e4167fd011f99ae2a26661e61c170391345bf0706361606e7d6bcec27c7

Observation 65290d2e-643d-43ec-a5c9-2d6982a1f527 · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Activation Steering for Chain-of-Thought Compression Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 5

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source=pdf_text observed=2026-08-06T19:46:46.662459Z digest=sha256:c0a76ba50bc325173aa4bfa8474c2920df30c43ffc029602eebfa1a472f2b450

Observation 21832438-c189-4e1e-bacb-803956ef829c · outbound

This paper cites Compressed Chain of Thought: Efficient Reasoning Through Dense Representations.

Activation Steering for Chain-of-Thought Compression Compressed Chain of Thought: Efficient Reasoning Through Dense Representations

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:46:46.825481Z digest=sha256:353c7d4907967efd572a1aae9b34165dff426834110ad4096bae1bf4309f7a30

Observation 82a1d316-71ac-40c1-9c49-6d5cec9710d5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Activation Steering for Chain-of-Thought Compression Training Verifiers to Solve Math Word Problems

Reference 8

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source=pdf_text observed=2026-08-06T19:46:46.922854Z digest=sha256:352f103027f4540931a27b94d45d325f847e07e2fd04c0788a9c3da7985bff17

Observation 14e18f2c-f9a8-4bc9-8908-bbd9d5701293 · outbound

This paper cites Deepseek -r1-distill-qwen-7b.

Activation Steering for Chain-of-Thought Compression Deepseek -r1-distill-qwen-7b

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:46:52.311046Z

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=pdf_text observed=2026-08-06T19:46:46.993772Z digest=sha256:a1b5f151d3107f2365929dd802d22efdef91350da359f5bc461c83563687b9c7

Observation da06340f-0cd0-42e1-a6bf-3e278a54dda1 · outbound

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

Activation Steering for Chain-of-Thought Compression DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 10

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source=pdf_text observed=2026-08-06T19:46:47.074579Z digest=sha256:3a18518aea9e765d506ec4fbb29c56bab5a8b9d7aaee8e1ddf0b8ff669554c73

Observation cd451d3a-100f-4632-acb7-9f442874c142 · outbound

This paper cites Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models.

Activation Steering for Chain-of-Thought Compression Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models

Reference 11

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source=pdf_text observed=2026-08-06T19:46:47.158980Z digest=sha256:940e19afc6f0c6fb7fcc8432f0e831b1a7deca74e35dd168cbb6059fe9628fd2

Observation 37b390b8-b978-4bb6-ae6c-a640d88ff1fd · outbound

This paper cites Global solutions of the 3D incompressible inhomogeneous viscoelastic system.

Activation Steering for Chain-of-Thought Compression Global solutions of the 3D incompressible inhomogeneous viscoelastic system

Reference 12

Resolution
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local_arxiv, observed 2026-08-06T19:46:49.922245Z

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 c96e4d78-c657-40fd-95d9-a62a054b31db · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Activation Steering for Chain-of-Thought Compression Measuring mathematical problem solving with the math dataset

Reference 13

Resolution
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raw_fallback, observed 2026-08-06T19:46:52.198604Z

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=pdf_text observed=2026-08-06T19:46:47.331152Z digest=sha256:dea417d1ce7b801f3382150adb4ebd838a1df290d9a741485e6a6b9a26f18a9c

Observation d08c57f0-2022-430b-ad85-4ee9bde45952 · outbound

This paper cites Measuring mathematical problem solving with the math dataset.

Activation Steering for Chain-of-Thought Compression Measuring mathematical problem solving with the math dataset

Reference 14

Resolution
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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.

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Observation 1bd7a8a5-6f57-484b-b49e-ef75c2030d29 · outbound

This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

Activation Steering for Chain-of-Thought Compression ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 15

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source=pdf_text observed=2026-08-06T19:46:47.461774Z digest=sha256:795b3283d384bfc032e1f51a86ea1d7afde58c4042c4393151f5dd863eb17356

Observation 4b7980d0-6bfa-4185-b50c-b8f760cbefb4 · outbound

This paper cites Uncovering Latent Chain of Thought Vectors in Language Models.

Activation Steering for Chain-of-Thought Compression Uncovering Latent Chain of Thought Vectors in Language Models

Reference 16

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source=pdf_text observed=2026-08-06T19:46:47.570236Z digest=sha256:a3430ec9441984381d77709fa409759fc6b1c5381b04d5001a016acc2b0f514d

Observation 02928972-4464-4638-8a0d-7df5e7e6ef51 · outbound

This paper cites Multivariate brain-cognition associations in euthymic bipolar disorder.

Activation Steering for Chain-of-Thought Compression Multivariate brain-cognition associations in euthymic bipolar disorder

Reference 17

Resolution
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local_arxiv, observed 2026-08-06T19:46:49.729603Z

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=pdf_text observed=2026-08-06T19:46:47.682598Z digest=sha256:e1b09738c9fbb25ef67882a15f0ce282c6c5f4c9cf8d974cbb26fb39a5bac78e

Observation a40e3a45-65ac-4fad-a4da-f1204b16108b · outbound

This paper cites Locating and editing factual associa- tions in gpt.

Activation Steering for Chain-of-Thought Compression Locating and editing factual associa- tions in gpt

Reference 18

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

source=pdf_text observed=2026-08-06T19:46:47.759080Z digest=sha256:7c479031e45b39dba97b24e3ab0d80dc065d949916bac448e4650b2cbf761dd8

Observation 8aa650af-81b4-4c08-ab17-9d8fb732b358 · outbound

This paper cites s1: Simple test-time scaling.

Activation Steering for Chain-of-Thought Compression s1: Simple test-time scaling

Reference 19

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Observation 175e4081-b561-4f54-85bf-6f7a8e9edee5 · outbound

This paper cites Improving Instruction-Following in Language Models through Activation Steering.

Activation Steering for Chain-of-Thought Compression Improving Instruction-Following in Language Models through Activation Steering

Reference 20

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source=pdf_text observed=2026-08-06T19:46:47.915387Z digest=sha256:a269d552adcdea75834419233d7296d49c750d40431386100188707478bea349

Observation 56b8698f-8d86-4031-9409-79f50c47358d · outbound

This paper cites Energy and policy considerations for deep learning in nlp.

Activation Steering for Chain-of-Thought Compression Energy and policy considerations for deep learning in nlp

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:46:51.697265Z

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=pdf_text observed=2026-08-06T19:46:47.980006Z digest=sha256:daa277a69dd6a45e9759f1c6640e56ecc64cd17e2701ca8579764fcf8656ac45

Observation bc839754-1cfb-4d9e-856f-368db30acfa9 · outbound

This paper cites Qwq -32b: A 32 b reasoning model from the qwen series.

Activation Steering for Chain-of-Thought Compression Qwq -32b: A 32 b reasoning model from the qwen series

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:46:51.482844Z

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 71534490-4a5e-48c1-bbd9-6b72e2b52f51 · outbound

This paper cites Steering language models with activation engineering.

Activation Steering for Chain-of-Thought Compression Steering language models with activation engineering

Reference 23

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

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Observation b6a12f3b-c810-4bd1-8c24-e7a03b4931d7 · outbound

This paper cites Visualizing data using t-sne.

Activation Steering for Chain-of-Thought Compression Visualizing data using t-sne

Reference 24

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Observation 7463f008-becb-414e-8ff0-76ad829710d6 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Activation Steering for Chain-of-Thought Compression Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 25

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source=pdf_text observed=2026-08-06T19:46:48.332762Z digest=sha256:e8708b6d058f52a22de284b9921e55748da757846a40adcb9ca2192856eb2426

Observation b6da6f59-9cee-4755-b668-a6ea0977a1a3 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models.

Activation Steering for Chain-of-Thought Compression Self-consistency improves chain of thought reasoning in language models

Reference 26

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Observation 84f613c9-adcc-454d-bb6a-7d2b9e7735c4 · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

Activation Steering for Chain-of-Thought Compression Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 27

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source=pdf_text observed=2026-08-06T19:46:48.487783Z digest=sha256:bf14a25ebf82379c0f5f1a5d4e8d56be6c271817ba54dba79a161fa2ac91796a

Observation d2dabeb9-927d-4352-8cf4-61784fdb4f37 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Activation Steering for Chain-of-Thought Compression Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 28

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source=pdf_text observed=2026-08-06T19:46:48.565326Z digest=sha256:dd0fb128a446d22b3cd832c77ea2d503f174f10e03895e9be36b765e8fe72649

Observation c8e18390-0262-4bf0-9768-78af0605942c · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Activation Steering for Chain-of-Thought Compression Chain-of-thought prompting elicits reasoning in large language models

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:46:50.948873Z

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=pdf_text observed=2026-08-06T19:46:48.651130Z digest=sha256:8184ed5fe7f1e81253ef09e42aedc701637ef38be26120e86e431b51caf68507

Observation a0912c5e-fee9-440a-a418-5c0669a34e75 · outbound

This paper cites Tokenskip: Controllable chain-of-thought compression in llms.

Activation Steering for Chain-of-Thought Compression Tokenskip: Controllable chain-of-thought compression in llms

Reference 30

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source=pdf_text observed=2026-08-06T19:46:48.740416Z digest=sha256:548144d4a165ffc6b902b7cedd35aaeb7074c1b0f597ad700abf94ef0bf0fdb9

Observation 5594da87-e65e-4fc8-b083-32d7d5dccabd · outbound

This paper cites Chain of Draft: Thinking Faster by Writing Less.

Activation Steering for Chain-of-Thought Compression Chain of Draft: Thinking Faster by Writing Less

Reference 31

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source=pdf_text observed=2026-08-06T19:46:48.843580Z digest=sha256:00b9465a79187a150c1fb28a21d8e52594753506883d59d68be71d957bc2b378

Observation 0b4ae9e8-09d7-443d-8172-89ea583b5de3 · outbound

This paper cites Dynamic early exit in reasoning models.

Activation Steering for Chain-of-Thought Compression Dynamic early exit in reasoning models

Reference 32

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source=pdf_text observed=2026-08-06T19:46:48.946036Z digest=sha256:5371b71a8d805de8147f014ed8605789f95e33177aacf68d7aa5732875857b5f

Observation 8762bc62-3d82-43dd-b281-52a3f836a5aa · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Activation Steering for Chain-of-Thought Compression Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 33

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source=pdf_text observed=2026-08-06T19:46:49.024887Z digest=sha256:c4999d013a0e1fcad481776ed5e27e90a5d4ab92281eb618e915480a7a98722c

Observation 7457a51c-245c-4bc8-8bc6-ae9425cd4204 · outbound

This paper cites Compressed chain of thought: Efficient reasoning through dense contemplation tokens.

Activation Steering for Chain-of-Thought Compression Compressed chain of thought: Efficient reasoning through dense contemplation tokens

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:46:50.789808Z

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=pdf_text observed=2026-08-06T19:46:49.125355Z digest=sha256:f823919bb74dd16e9bbe5bfa412f5cce35498a301280e4847e82e2604a8ef3c7

Observation 7c7b4e32-f268-4429-af29-f0b019ebc87f · outbound

This paper cites A.1.5 Putting the pieces together With ˜z − z = δ + r(γ) and the triangle inequality, ∥˜z − z∥2 2 ≤ ∥δ∥2 + ∥r(γ)∥2 2 (8) ≤ ∥δ∥2 2 + 2∥δ∥2∥r(γ)∥2 + ∥r(γ)∥2.

Activation Steering for Chain-of-Thought Compression A.1.5 Putting the pieces together With ˜z − z = δ + r(γ) and the triangle inequality, ∥˜z − z∥2 2 ≤ ∥δ∥2 + ∥r(γ)∥2 2 (8) ≤ ∥δ∥2 2 + 2∥δ∥2∥r(γ)∥2 + ∥r(γ)∥2

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T19:46:50.589465Z

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=pdf_text observed=2026-08-06T19:46:49.217538Z digest=sha256:a0b022de526e34b97f1710b461038cb2c5b2102453f82c762240288f8b32e393

Observation e4dc6405-9d67-4a09-a0bb-72de6c8281eb · outbound

This paper cites Alternatively,.

Activation Steering for Chain-of-Thought Compression Alternatively,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:46:50.409029Z

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=pdf_text observed=2026-08-06T19:46:49.318109Z digest=sha256:36cfb997c203bbe5b2cb1913d8df3c0b3f6b97a30e4d2d893699d505d079dcdc

Pith citing papers

Observation 4b78f359-3774-407e-ace0-ffc7b9ef2ef7 · inbound

Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models cites this paper.

Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models Activation Steering for Chain-of-Thought Compression

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-21T21:45:40.568370Z

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=pdf_text observed=2026-05-21T21:44:36.351517Z digest=sha256:8e759682839dc476333daf8cb31cfb0b481bf487c5f48eb2cefeab5ba2a8859a

Observation 8a37a09a-f6f2-42d4-b7fe-22900acbd1da · inbound

Probing the Difficulty Perception Mechanism of Large Language Models cites this paper.

Probing the Difficulty Perception Mechanism of Large Language Models Activation Steering for Chain-of-Thought Compression

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T11:17:47.087931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T11:17:47.087931Z digest=sha256:36924bd1258d41d47addb2437c8aaec19729dbae4cb24b4c5aba8bfa7ef2de17

Observation 2ffc828f-745c-4393-907b-35234b0c8dcd · inbound

Video Reasoning without Training cites this paper.

Video Reasoning without Training Activation Steering for Chain-of-Thought Compression

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T09:12:06.560226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T09:12:06.560226Z digest=sha256:1772e653114aeaee93dc3fd7657c90a15c02621388e8af53c823e83a4d4613c9

Observation e3828ca1-8269-4701-b90f-0cfebd72f181 · inbound

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment cites this paper.

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment Activation Steering for Chain-of-Thought Compression

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:15:56.566188Z

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=pdf_text observed=2026-05-10T18:36:44.401045Z digest=sha256:f22b55c49df2693a6640bf986547eec1e6f6e98bb1f5a0e55ba4a4dac40f03da

Observation 1842c896-f613-42c9-90d6-bfd7fd91373f · inbound

How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning cites this paper.

How Do Answer Tokens Read Reasoning Traces? Self-Reading Patterns in Thinking LLMs for Quantitative Reasoning Activation Steering for Chain-of-Thought Compression

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T02:43:24.280900Z

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=2026-05-10T02:40:28.718556Z digest=sha256:700eaae72d4a1138f0d3e54dac66435a1e5f0417d65c3b8716051be5f94319ad

Observation 2d4d7323-22c7-4fee-84c8-685d43637478 · inbound

Contextual Linear Activation Steering of Language Models cites this paper.

Contextual Linear Activation Steering of Language Models Activation Steering for Chain-of-Thought Compression

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:06:13.755357Z

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=pdf_text observed=2026-05-08T03:30:30.143805Z digest=sha256:aa19bbe3db5e3483955486b82439ab92cc64763692944bd0ecbe5397a5d71158

Observation 28c62660-c851-44de-8752-7403b593e143 · inbound

The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering cites this paper.

The Hidden Signal of Verifier Strictness: Controlling and Improving Step-Wise Verification via Selective Latent Steering Activation Steering for Chain-of-Thought Compression

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T06:54:01.026743Z

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=pdf_text observed=2026-05-21T06:51:56.556213Z digest=sha256:5fafbeb86715d7c28c533d0e284029956a8a10f0b2572cbe2040ef4b0d95ed69

Observation b0215036-af20-4575-92a8-27e0226c5082 · inbound

When is Your LLM Steerable? cites this paper.

When is Your LLM Steerable? Activation Steering for Chain-of-Thought Compression

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T10:27:56.560640Z

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=pdf_text observed=2026-06-27T10:01:21.682285Z digest=sha256:298b2b6a8e605f85829a26b345ac65c6812ac38164399b9fbeb8224725a88b71