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Paper Citation Record · LEDGER

NEAT: Concept driven Neuron Attribution in LLMs

As of 8 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2508.15875.

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

pith.paper-citation-record.v1
2508.15875 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T18:01:19.748751Z

measured 36 of 36 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T17:49:41.713753Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T04:52:16.694276Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved31
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 001dbcf2-f3c2-475e-8e09-bb2e338c16d0 · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-05T18:01:19.576433Z digest=sha256:2c2667c76b095eff29c6456a7f8822092fec1fcf24cf81ddd62582075514e424

Observation a53da023-9cab-4951-b9cb-7efe66297402 · outbound

This paper cites Analyzing Transformers in Embedding Space.

NEAT: Concept driven Neuron Attribution in LLMs Analyzing Transformers in Embedding Space

Reference 2

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source=pdf_text observed=2026-08-05T18:01:19.586586Z digest=sha256:2385c7a384381a02461de3925361eba971bf819bd88a04f53c2d388e89573156

Observation db5d4afa-c3b3-452f-8c10-cfbd10cb826c · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-05T18:01:19.592132Z digest=sha256:afa8dc95fe1eebf7f080bcd151bba064f488ec8310e2455cb07a433b3a2af46d

Observation 81eaa499-1449-42a6-b94b-9353d44b2ae2 · outbound

This paper cites Toy Models of Superposition.

NEAT: Concept driven Neuron Attribution in LLMs Toy Models of Superposition

Reference 4

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source=pdf_text observed=2026-08-05T18:01:19.598036Z digest=sha256:42fdad86b1ada75cfba06a2ab10eaa0ca2c2fd941605e32328f06419dd8d7040

Observation f058a406-13b6-4373-ba64-67efa7c88d6c · outbound

This paper cites Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

NEAT: Concept driven Neuron Attribution in LLMs Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 5

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source=pdf_text observed=2026-08-05T18:01:19.603269Z digest=sha256:5b705437b36991e215599da4cf13fe3904c2150fffccf2c08ad2043e4ca40971

Observation a701cb1f-98ac-47de-8b24-d1e023b3f661 · outbound

This paper cites Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space.

NEAT: Concept driven Neuron Attribution in LLMs Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space

Reference 6

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source=pdf_text observed=2026-08-05T18:01:19.609070Z digest=sha256:200470b5d0d57e96c1c8b65aeff3cd86009afd4948eb8bad5852d67334da388f

Observation bf0a6b35-c6c3-455b-a1f1-70c5394c3f25 · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

NEAT: Concept driven Neuron Attribution in LLMs Transformer Feed-Forward Layers Are Key-Value Memories

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T18:01:19.614933Z digest=sha256:92eb5778a14f1830c40a0c7311ac5b2bef5e6ecf05797258046a2336c06a821d

Observation 3cf2b774-1cb1-4d9d-85f7-326d8e238ac8 · outbound

This paper cites Localizing Model Behavior with Path Patching.

NEAT: Concept driven Neuron Attribution in LLMs Localizing Model Behavior with Path Patching

Reference 8

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source=pdf_text observed=2026-08-05T18:01:19.620294Z digest=sha256:94fd2cf2ff00c9b73597112300330a9513e06acbe37c03e40dcbd7394f2c9e61

Observation 6af67497-3285-4607-a6b2-d10b926d5721 · outbound

This paper cites Finding Neurons in a Haystack: Case Studies with Sparse Probing.

NEAT: Concept driven Neuron Attribution in LLMs Finding Neurons in a Haystack: Case Studies with Sparse Probing

Reference 9

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source=pdf_text observed=2026-08-05T18:01:19.625643Z digest=sha256:c980100593176e51a79bc3562739beb912a1665a8cf9a8f69a95a320dce02974

Observation 0886e2a4-bb5e-4221-87ee-b77f5ad9c369 · outbound

This paper cites How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model.

NEAT: Concept driven Neuron Attribution in LLMs How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

Reference 10

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Observation 095e1d50-532c-498e-befa-621103b8c267 · outbound

This paper cites Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT.

NEAT: Concept driven Neuron Attribution in LLMs Dictionary Learning Improves Patch-Free Circuit Discovery in Mechanistic Interpretability: A Case Study on Othello-GPT

Reference 11

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source=pdf_text observed=2026-08-05T18:01:19.636897Z digest=sha256:b8c41565b0ed2e4dbc209b505f93b6e5f1e3e57f90395b89edf872eca625c0f5

Observation 0a4a9903-52b4-4cc4-8837-7220bf428ea6 · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-05T18:01:19.642752Z digest=sha256:4e342eed2343cff58ebbbe4e260740ab6ab375e6387c5936d8100af94aa2dafd

Observation 77fa5b20-9c2e-4352-ac0c-382f2f701768 · outbound

This paper cites Schütt, Sven Dähne, Dumitru Erhan, and Been Kim.

NEAT: Concept driven Neuron Attribution in LLMs Schütt, Sven Dähne, Dumitru Erhan, and Been Kim

Reference 13

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Observation 49cceb30-af28-4b3a-b8f0-90f368234dec · outbound

This paper cites A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.

NEAT: Concept driven Neuron Attribution in LLMs A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity

Reference 14

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source=pdf_text observed=2026-08-05T18:01:19.652668Z digest=sha256:d7d8f114179098bcbc1076ab8d71557f1b3d961bcc966088db53d4f5315a9b87

Observation 968da0e3-82e1-4ce6-80ae-1ba1a71e18e2 · outbound

This paper cites Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps.

NEAT: Concept driven Neuron Attribution in LLMs Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

Reference 15

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Observation 9c351ba5-7365-4f33-8eaf-2cec4b80baff · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 16

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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 8dcca160-8ba1-41d3-9313-c51581d9ad4d · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 17

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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 aedf4d8b-15fb-4f40-8263-681c2d24f5a2 · outbound

This paper cites Investigating Saturation Effects in Integrated Gradients.

NEAT: Concept driven Neuron Attribution in LLMs Investigating Saturation Effects in Integrated Gradients

Reference 18

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Observation e5b1395c-6d37-4081-938c-3c79f6693c25 · outbound

This paper cites In-context Learning and Induction Heads.

NEAT: Concept driven Neuron Attribution in LLMs In-context Learning and Induction Heads

Reference 19

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Observation c91807f8-1575-4a18-9918-578c5568aa36 · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 20

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Observation 74cb8fa5-8b0c-46f7-80b2-e7da9363cbfb · outbound

This paper cites 2022.Direct and Indirect Effects(1 ed.).

NEAT: Concept driven Neuron Attribution in LLMs 2022.Direct and Indirect Effects(1 ed.)

Reference 21

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Observation 17302f8a-3b0a-4e5f-aa58-304b52b6d6d1 · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 22

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Observation 9b0a8d4b-ba1d-4e84-ba84-1701ed8f6e47 · outbound

This paper cites A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis.

NEAT: Concept driven Neuron Attribution in LLMs A Mechanistic Interpretation of Arithmetic Reasoning in Language Models using Causal Mediation Analysis

Reference 23

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Observation 0740a64c-f01f-4967-bfbe-bc6845e0b59e · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 24

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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 840e11ee-bf71-44aa-af9e-519b0322308b · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 25

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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 8c86245e-2728-4fdc-affe-b2b977a3905b · outbound

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

NEAT: Concept driven Neuron Attribution in LLMs Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Reference 26

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Observation efeb0a31-f453-4c1d-ad17-afd1aa922eda · outbound

This paper cites Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning.

NEAT: Concept driven Neuron Attribution in LLMs Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Reference 27

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Observation 0ed6db16-fd99-4daf-afec-656f3f967bb5 · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-05T18:01:20.598881Z

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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 461c9f31-cc56-403a-a33c-2a5381837cc5 · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-05T18:01:20.578263Z

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 799a00ed-d2ca-488e-bad2-13ed13c712a0 · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 30

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Unavailable: canonical work link unavailable.

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Observation ebcc04aa-7900-4401-943f-d8a1fbf5011b · outbound

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NEAT: Concept driven Neuron Attribution in LLMs Neuron-Level Knowledge Attribution in Large Language Models

Reference 31

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Observation a794e7b9-2231-43cf-982f-5554fe0cf9e6 · outbound

This paper cites an unresolved cited work.

NEAT: Concept driven Neuron Attribution in LLMs Unresolved cited work

Reference 32

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Observation 05d36028-7507-4a5c-b2e9-ce0a7293e865 · outbound

This paper cites Towards Best Practices of Activation Patching in Language Models: Metrics and Methods.

NEAT: Concept driven Neuron Attribution in LLMs Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

Reference 33

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source=pdf_text observed=2026-08-05T18:01:19.748751Z digest=sha256:57e1fb152bff4f40d19e081d5183e49d18824a294cc5914516bdbb583775ada3

Observation 7720c536-9c5b-4ed8-a6ab-cf0477195216 · outbound

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NEAT: Concept driven Neuron Attribution in LLMs Transformer Circuits Thread 2 (2023)

Reference 2023

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verified fuzzy
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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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Pith citing papers

Observation 467fce34-dfb3-4c41-862f-0e625cc63fb4 · inbound

Beyond Transcription: Mechanistic Interpretability in ASR cites this paper.

Beyond Transcription: Mechanistic Interpretability in ASR NEAT: Concept driven Neuron Attribution in LLMs

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 6c83bd82-9187-4ba8-8c19-a3669c400e2f · inbound

GKnow: Measuring the Entanglement of Gender Bias and Factual Gender cites this paper.

GKnow: Measuring the Entanglement of Gender Bias and Factual Gender NEAT: Concept driven Neuron Attribution in LLMs

Reference 57

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verified exact
arxiv_id, observed 2026-05-13T04:52:16.696233Z

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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