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Paper Citation Record · LEDGER

Activation Steering for Chain-of-Thought Compression

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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

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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

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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=sha256:8a691624fecb931736b19e038c060f43992b4887005b34af05ddb95c5dfe3844

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:c6b3ea6b4535deebf5cbbc6002eb67642f40bfcbf73035a9cc1718c43147f84f

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:de174f954837204abb8fe8429c877b33205c5f40b907855b418367bd0a9af71b

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:dc42500e8c7ae69f092a019bde44f3c32896053dfe24e73b1649a6510dcf62e1

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:46:46.993772Z digest=sha256:dc52fd398d9fa66d1077788e0c16a928b5b571a4e818635a1396c1fdbf341a77

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=sha256:1391761f83cf4d3a9eae1f20c664caab3138b95cf43e61b983d32880046016f4

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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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

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

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

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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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raw_fallback, observed 2026-08-06T19:46:52.035059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+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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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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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 2026-08-10T06:31:04.303077+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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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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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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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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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verified fuzzy
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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=sha256:89cdc5d1ae6fb8425c9437126ebf3bce8cb2b26131e076476081bf6fb0aa28fc

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:f015201fee19f94b97f92a8fdcbf6d71550dffe4517aa2d70a60e8f2fb0742f2

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 2026-08-10T06:31:04.303077+00:00.

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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:c28b1246c035d159781f17d1f64844463b3597357637ad402ba6914e4b8b2d32

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=sha256:2533e3de1c6b6170c756db0a52fb8d2e884e817b3c1bba5b9296e3f191a05c2e

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=sha256:87b497831d3e80142c753d22b7a9ecd5d81283d285983e3fccd88eea048b8948

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=sha256:8cbd0a0a50f74a5f9669f580b78e37010978df0c802bac872975583b1cc99d47

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:46:49.125355Z digest=sha256:dac106e4230e82d18fa58d9f798686fe1545295d72d73ba044fe08037f19dc86

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 2026-08-10T06:31:04.303077+00:00.

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T19:46:49.318109Z digest=sha256:8e6b0a72a60f1b45c3b8cd37411cf120958bdfd697c278a437ac0288ed5d4910

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T21:44:36.351517Z digest=sha256:e6857e1768781e4c886e02bdc1e1e5f0384e575c6947c24e9c1dbf1038e7a262

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:b99ac51035ee74db72a69e3c23533fe2223c9610cf86d19fd900e2a00e01f7c5

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=sha256:16881259e94b370550c497b0676d1d1897f86efbef097ce40383c72afc422949

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:36:44.401045Z digest=sha256:d03bd769eb54829bf4b93ef44ed964ab7e6ff34ad66e6d9b0abd6208044e90cc

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T02:40:28.718556Z digest=sha256:d4992162fbaa31df655eaae163ef8fec60ca467c20b3ad1126d4777411dc04b4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T03:30:30.143805Z digest=sha256:4bf59cd264e628a46782f975b595846ff0b1ee90f0a2aaab1cbf4818c0a961fe

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T06:51:56.556213Z digest=sha256:15451909d15894bd63754f5b119934a8ca70077385ee6018957de942936fb253

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T10:01:21.682285Z digest=sha256:17c54c72094fcac22ef12ef8328c4dd2e1c641dc8868f2aa05a06b97aca06f4f