Pith. sign in

Paper Citation Record · LEDGER

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation

As of 10 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2606.14530.

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

pith.paper-citation-record.v1
2606.14530 v3

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:29:00.487021Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T00:17:20.154713Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-08T00:24:22.511228Z

Reference resolution

10 of 10 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 957f63e9-bd32-40ea-9356-7593a0e3d0c4 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation Understanding intermediate layers using linear classifier probes

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-02T11:28:59.373524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:28:59.373524Z digest=sha256:e31fb2580d12c26e34f13db5b7f2d30971359102d471f79c546ef535b8ab8266

Observation 311f301d-1cf2-4add-b1bf-1075ff043cc0 · outbound

This paper cites Cor- rectness assessment of code generated by large language models using internal representations,.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation Cor- rectness assessment of code generated by large language models using internal representations,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T11:28:59.475074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:28:59.475074Z digest=sha256:41bf58aa0588cf7550d12db5b407d1efa97c18d68678387df41731404b818f37

Observation 3b53e812-2b7a-4a79-ae74-7a1899678245 · outbound

This paper cites On LLMs’ internal repre- sentation of code correctness, 2025.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation On LLMs’ internal repre- sentation of code correctness, 2025

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T11:28:59.772422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:28:59.772422Z digest=sha256:36cff8c9bb61a554472eece986e485c81002c8468a60ff2bd2f17637aa09b4a3

Observation 0a129b3f-d303-4f21-b4ed-13a80d9b677d · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation Representation Engineering: A Top-Down Approach to AI Transparency

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T11:28:59.889002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:28:59.889002Z digest=sha256:a474c93505149e26c2e975809f092c91c9d6be489b1fe37cd04f538e81e50cc7

Observation 42a39ad1-9f98-4218-8169-07a62f84ec20 · outbound

This paper cites How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T11:29:00.013874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:00.013874Z digest=sha256:bebc97ffb82d8bef5aa4df2eb107b1952377f4fc6464057ad687a24941f733e9

Observation c8243db1-8a37-4690-b4d5-86bd2c7b7af9 · outbound

This paper cites Qwen3 Technical Report.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation Qwen3 Technical Report

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-02T11:29:00.163285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:00.163285Z digest=sha256:6c5fb51a31b96d1db4ec5d956c015f254c0d1e4b0f15e206403f6827a916e9de

Observation ee0a0ca2-6aa1-48a3-8331-5f2cfe8d3e7c · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T11:29:00.284133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:00.284133Z digest=sha256:e10a616e35d7235703eef267b1d600ecdecd7deb4181c416525b720788cbdc2b

Observation 0e54cd2b-a323-4802-93b0-6c7b0eb9b41d · outbound

This paper cites Pedregosa, G.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation Pedregosa, G

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-02T11:29:00.377680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:00.377680Z digest=sha256:b3d4eca1bb081930e5233625769def7aa0ebf917ed469a82f1e5316c0ced06ee

Observation d4fa7eaa-f57f-44eb-95fa-d5e6d3b54024 · outbound

This paper cites Cawley and Nicola L.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation Cawley and Nicola L

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T11:29:00.487021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:29:00.487021Z digest=sha256:8d193048636114b1958edc507e9c74babd9f5f298b6d13ba171e8a418609855e

Observation f3e31360-8b80-4519-ba68-4fc3cb125a7d · outbound

This paper cites Correctness Assessment of Code Generated by Large Language Models Using Internal Representations.

Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation Correctness Assessment of Code Generated by Large Language Models Using Internal Representations

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T11:28:59.629957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:28:59.629957Z digest=sha256:13228b28736419dfb772a867a633545714439b95132ac1f4026e4f338f94daf1

Pith citing papers

Observation 0b3bf7c2-4298-4230-8c3a-4ce7f6f5f726 · inbound

Latent Programming Horizons in Coding Agents cites this paper.

Latent Programming Horizons in Coding Agents Code Correctness Is Linearly Decodable from LLM Hidden States Before Generation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-13T02:17:38.327208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-08T00:17:20.154713Z digest=sha256:c3674b2545ec845e84b99b6fa5d33dcf8d89964d0e2e3e022025250baaaf0bf6