Paper Citation Record · LEDGER

Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.11314.

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

pith.paper-citation-record.v1
2503.11314 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:50:57.423568Z

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

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e01e48f6-a94f-49db-87f0-a0ca6bb51e23 · inbound

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation cites this paper.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T13:02:23.592574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e28995-87bc-4244-bcce-a88d93c95264 · inbound

Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation cites this paper.

Unveiling Knowledge Utilization Mechanisms in LLM-based Retrieval-Augmented Generation Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T20:50:57.423568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d3f7704-a80b-4415-81ab-03d1b3823450 · inbound

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN cites this paper.

Amplify Adjacent Token Differences: Enhancing Long Chain-of-Thought Reasoning with Shift-FFN Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:05:18.186011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a9080bb-fe0a-4a60-b29a-2bdaf9a9141c · inbound

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models cites this paper.

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:17.456419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52fc4979-7cf7-4065-99ee-5faba847a214 · inbound

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training cites this paper.

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:59.645017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ec79ad-94b0-41b6-8ca0-aacc6ccaf376 · inbound

Enhancing Cross-task Transfer of Large Language Models via Activation Steering cites this paper.

Enhancing Cross-task Transfer of Large Language Models via Activation Steering Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T16:31:51.350436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44664614-d825-4fc8-8455-6fe5e4bea3fe · inbound

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought cites this paper.

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-18T02:45:46.080045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5052dfba-e5e8-402a-8bcf-9454afe32956 · inbound

Can Aha Moments Be Fake? Towards Quantifying Decorative and True Thinking in Chain-of-Thought cites this paper.

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T07:43:11.054073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1083680-137e-4169-b8f9-addc06fcf258 · inbound

The Tell-Tale Norm: $\ell_2$ Magnitude as a Signal for Reasoning Dynamics in Large Language Models cites this paper.

The Tell-Tale Norm: $\ell_2$ Magnitude as a Signal for Reasoning Dynamics in Large Language Models Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:26:56.915789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.