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Paper Citation Record · LEDGER

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models

As of 11 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2501.15054.

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

pith.paper-citation-record.v1
2501.15054 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:43:14.801525Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:59:30.298880Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T18:59:33.160545Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved21
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1f030de-aa82-4686-8c78-12fe3ae90242 · outbound

This paper cites Neel Nanda.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Neel Nanda

Reference 4

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verified fuzzy
raw_fallback, observed 2026-08-10T14:43:15.086106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 268e257b-7345-4887-b610-8562bc4a4508 · outbound

This paper cites A review of taxonomies of explainable artificial intelligence (xai) methods.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models A review of taxonomies of explainable artificial intelligence (xai) methods

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-10T14:43:15.053253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:43:14.726295Z digest=sha256:c5ec0b2a473176d196eae508f9c0a3dfeb92d5df1972beb8ce3216b1e1b184b9

Observation 6729c272-5017-4a3e-9ebd-bec9fcd2f384 · outbound

This paper cites Mechanistic Interpretability for AI Safety -- A Review.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Mechanistic Interpretability for AI Safety -- A Review

Reference 8

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Observation 5d45590e-84b4-42de-b444-628aa8166c6b · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 11

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source=pdf_text observed=2026-08-10T14:43:14.741505Z digest=sha256:103eadbccb5efdbd0eca305609204c888cb4b7153b9355fb48836f246091d59a

Observation 2ac73ebc-e5f0-4645-b3e4-e0a97897b17c · outbound

This paper cites Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:43:14.745081Z digest=sha256:3b132da4133cde0ba9c6e985fc1751263ac4346004c1f4e118de282ab0a85484

Observation 810515a5-3cf0-4547-ab2a-799b453335be · outbound

This paper cites Localizing Model Behavior with Path Patching.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Localizing Model Behavior with Path Patching

Reference 13

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no resolver link, observed 2026-08-10T14:43:14.748803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81f2b69b-d54c-4439-b631-24a4305e28c3 · outbound

This paper cites com/posts/AcKRB8wDpdaN6v6ru/interpreting-gpt-the-logit-lens.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models com/posts/AcKRB8wDpdaN6v6ru/interpreting-gpt-the-logit-lens

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-10T14:43:15.041894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation fc23120f-5abd-491a-84ea-8dcc3276034f · outbound

This paper cites Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblocks.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Still No Lie Detector for Language Models: Probing Empirical and Conceptual Roadblocks

Reference 16

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Observation c8ba1d4b-b0f9-4cae-a9da-d4d1ec3d2dab · outbound

This paper cites Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Emergent World Representations: Exploring a Sequence Model Trained on a Synthetic Task

Reference 17

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no resolver link, observed 2026-08-10T14:43:14.763946Z

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Observation c7759ce2-4653-44f3-960e-f793910915cc · outbound

This paper cites Emergent Abilities of Large Language Models.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Emergent Abilities of Large Language Models

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:43:14.768096Z digest=sha256:9b12b0ba6b78371de15a883dbd37e23277b50a1d160aa209845f8da785d367e4

Observation 708a0b8d-41c3-4d26-896f-e0fd0c4471ad · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Progress measures for grokking via mechanistic interpretability

Reference 19

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Observation 4382c841-0db5-4bfa-9031-dfca2a9091ca · outbound

This paper cites Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

Reference 20

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no resolver link, observed 2026-08-10T14:43:14.775196Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:43:14.775196Z digest=sha256:65be98481f2af9b5dbc3aaf46917e434d7b1fd88043d8aa3d2039ead1e0ed7f4

Observation e8a802a3-b2a4-4638-a89a-146c3af9cfb7 · outbound

This paper cites Locating and Editing Factual Associations in GPT.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Locating and Editing Factual Associations in GPT

Reference 21

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no resolver link, observed 2026-08-10T14:43:14.779216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:43:14.779216Z digest=sha256:24e06fc184b3fe30e8e67054aad387ee919a429946f06a3f531b785b3c0f7b55

Observation 860676fe-f804-4626-9fbf-632dacd16e3a · outbound

This paper cites A Survey of Machine Unlearning.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models A Survey of Machine Unlearning

Reference 22

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Observation 80f97076-180f-4218-8226-8aef73db19aa · outbound

This paper cites Circumventing interpretability: How to defeat mind-readers.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Circumventing interpretability: How to defeat mind-readers

Reference 23

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no resolver link, observed 2026-08-10T14:43:14.786443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:43:14.786443Z digest=sha256:04252b9ab9463c43921df62fc20ce8b07ae114c734d13f9d303c3acad1bcb7d5

Observation 8fee2dd8-deeb-431c-ac2d-e6ecb3d8d85e · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Discovering Latent Knowledge in Language Models Without Supervision

Reference 24

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no resolver link, observed 2026-08-10T14:43:14.789971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 599be8c9-332f-4cc9-b99f-d2ca329015c0 · outbound

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

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Representation Engineering: A Top-Down Approach to AI Transparency

Reference 25

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no resolver link, observed 2026-08-10T14:43:14.793410Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T14:43:14.793410Z digest=sha256:16d5a191398660bb92c44ff8c5fd8a2360f8358aa978c996d12245f156cde7d4

Observation 85c92d42-2d8c-43e8-9bf8-053b56e0a0dc · outbound

This paper cites AI Deception: A Survey of Examples, Risks, and Potential Solutions.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models AI Deception: A Survey of Examples, Risks, and Potential Solutions

Reference 26

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source=pdf_text observed=2026-08-10T14:43:14.797897Z digest=sha256:d4a72c3b3868d4614e16cebc76fe16ea15ba98856955cfbd42dc71d6cf0f659a

Observation d41b6da4-6911-4cac-9ea4-44a829bda27e · outbound

This paper cites An overview of 11 proposals for building safe advanced AI.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models An overview of 11 proposals for building safe advanced AI

Reference 27

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source=pdf_text observed=2026-08-10T14:43:14.801525Z digest=sha256:4991bc2dc10050e254263edcb850ef9701d69d6e3252544a3bd65f5dd7aa14aa

Observation cefe1f41-dc8d-4d9e-adfa-8be2419a5485 · outbound

This paper cites Neel Nanda.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Neel Nanda

Reference 2018

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verified fuzzy
raw_fallback, observed 2026-08-10T14:43:15.064000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:43:14.722546Z digest=sha256:585cb5bbb430442211ed7f8a5d28e3e232fa98cc626dc08066f056db007875ea

Observation 6f5ceadc-785c-4c56-9ca3-dcfbfba038f4 · outbound

This paper cites Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Learning Syntax Without Planting Trees: Understanding Hierarchical Generalization in Transformers

Reference 2019

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no resolver link, observed 2026-08-10T14:43:14.756025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:43:14.756025Z digest=sha256:5d46f481d5143d19157e54543c54ac3fda4a648822aa2de209e881c252c0cbbe

Observation a2552a8a-796f-4dd6-bef8-6f489b7c0018 · outbound

This paper cites Lee Sharkey, Sid Black, and beren.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Lee Sharkey, Sid Black, and beren

Reference 2020

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verified fuzzy
raw_fallback, observed 2026-08-10T14:43:15.074738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T14:43:14.718935Z digest=sha256:c5a82bfae3d785cd5716af275bceb0674c0d8beff73ae799fa12f93d79c5c120

Observation 9015422d-b7ad-4ce4-8101-07aa05a192a1 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models Understanding intermediate layers using linear classifier probes

Reference 2021

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no resolver link, observed 2026-08-10T14:43:14.733628Z

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source=pdf_text observed=2026-08-10T14:43:14.733628Z digest=sha256:78d052b36171ec37528dd8cda43a6144254f31c4e0262462b09ff24e19a0e7b1

Observation d45d8511-7f54-48d9-be16-a96a4dc080de · outbound

This paper cites X-Risk Analysis for AI Research.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models X-Risk Analysis for AI Research

Reference 2022

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source=pdf_text observed=2026-08-10T14:43:14.702248Z digest=sha256:70b9103f6c95451ced3e701a795b48e395edd4dad717cda6b00469c8f8c0eef1

Observation fa06af59-535d-40a7-a8f9-58b83639b142 · outbound

This paper cites An Overview of Catastrophic AI Risks.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models An Overview of Catastrophic AI Risks

Reference 2023

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Observation d51a07f8-32d9-4b56-a357-a4e17aba6e6f · outbound

This paper cites AI Alignment: A Comprehensive Survey.

Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models AI Alignment: A Comprehensive Survey

Reference 2024

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source=pdf_text observed=2026-08-10T14:43:14.711050Z digest=sha256:05e8c14bb0c0b6cb846f863f2306a407c261acfa57056e7e022358637f1ae28e

Pith citing papers

Observation 43b03796-5d94-4077-addf-bed3abaabb52 · inbound

On the Effect of Uncertainty on Layer-wise Inference Dynamics cites this paper.

On the Effect of Uncertainty on Layer-wise Inference Dynamics Unraveling Token Prediction Refinement and Identifying Essential Layers in Language Models

Reference 16

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verified exact
local_arxiv, observed 2026-08-06T18:59:33.273968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T18:59:30.298880Z digest=sha256:9b40317dca2787cc975086831845b15b8cdeea43e26fa4f026535c914220412f