Paper Citation Record · LEDGER

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution

As of 4 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2502.06809.

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

pith.paper-citation-record.v1
2502.06809 v3

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-23T04:09:40.210836Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T05:35:58.568346Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact16
verified fuzzy13
unresolved1
parse uncertain0
malformed identifier2
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a01915e0-3b58-42fd-a8d7-820f484ac1a2 · outbound

This paper cites Omer Antverg and Yonatan Belinkov.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Omer Antverg and Yonatan Belinkov

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.037337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4a26de1-ed5f-4f8d-85de-949e5d8e3079 · outbound

This paper cites URL https://doi.org/10.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution URL https://doi.org/10

Reference 2

Resolution: verified exact; doi, observed 2026-05-23T04:12:30.480584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dc53dd67-48c0-4ab5-936a-472b09044568 · outbound

This paper cites doi: 10.18653/v1/2022.acl-long.581.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution doi: 10.18653/v1/2022.acl-long.581

Reference 3

Resolution: verified exact; doi, observed 2026-05-23T04:12:30.467386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fc894135-fb9a-4982-bcf8-9b74643ec096 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:12:30.765341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation afa62a3b-cc74-48e5-80be-c3e7ec6863a5 · outbound

This paper cites N2G: A Scalable Approach for Quantifying Interpretable Neuron Representations in Large Language Models.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution N2G: A Scalable Approach for Quantifying Interpretable Neuron Representations in Large Language Models

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:30.722056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 949fc11e-245e-49a3-964f-d1844e0c78ac · outbound

This paper cites The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:12:30.746086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 58f73ddc-4c8b-418f-9f63-4dff5d1a44e1 · outbound

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

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Finding Neurons in a Haystack: Case Studies with Sparse Probing

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:30.701871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d82db471-8378-4383-b554-ad27d8651fe4 · outbound

This paper cites Comprehensive online network pruning via learnable scaling factors.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Comprehensive online network pruning via learnable scaling factors

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.061721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dfe16b13-8e35-4832-8a12-7044c9378193 · outbound

This paper cites Zeqing He, Zhibo Wang, Zhixuan Chu, Huiyu Xu, Rui Zheng, Kui Ren, and Chun Chen.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Zeqing He, Zhibo Wang, Zhixuan Chu, Huiyu Xu, Rui Zheng, Kui Ren, and Chun Chen

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T04:12:30.474903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 6985bc84-2232-4690-a80c-175d40aa3057 · outbound

This paper cites Measuring massive multitask language understanding.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Measuring massive multitask language understanding

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.057596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bdcae12f-a04f-4e44-8fab-ff4c0e8dc50c · outbound

This paper cites What causes polysemanticity? an alternative origin story of mixed selectivity from incidental causes.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution What causes polysemanticity? an alternative origin story of mixed selectivity from incidental causes

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.066138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 981e075c-0765-4d4d-8f8a-f4ae3f087d5c · outbound

This paper cites Liu, Matt Gardner, Yonatan Belinkov, Matthew E.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Liu, Matt Gardner, Yonatan Belinkov, Matthew E

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.045626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2ed6f846-8c41-4ae0-9269-2233343e32a3 · outbound

This paper cites and Gardner, Matt and Belinkov, Yonatan and Peters, Matthew E.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution and Gardner, Matt and Belinkov, Yonatan and Peters, Matthew E

Reference 13

Resolution: metadata mismatch; doi, observed 2026-05-23T04:12:30.450417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 2d9912e4-2e56-4540-a308-b5141faedbc9 · outbound

This paper cites Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T04:12:30.715615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 24fec002-8e8d-4fcb-92a0-8a23c0009c37 · outbound

This paper cites Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Reference 15

Resolution: malformed identifier; local_arxiv, observed 2026-05-23T04:12:30.443483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e024d7d1-7da1-4336-ac31-61e59c51c31f · outbound

This paper cites Understanding polysemanticity in neural networks through coding theory.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Understanding polysemanticity in neural networks through coding theory

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:30.759111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3f072164-43a1-4542-8df6-c1ce730e3123 · outbound

This paper cites Andonian, Yonatan Belinkov, and David Bau.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Andonian, Yonatan Belinkov, and David Bau

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.032607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation be36520c-47ae-430d-a5f6-66cde1242688 · outbound

This paper cites On the importance of single directions for generalization.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution On the importance of single directions for generalization

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T04:12:30.676583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0a3395f8-b885-46e5-be6e-9f9c618bd25f · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:12:30.727823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d1647712-aba9-4037-a7cc-3a2a9a6eb528 · outbound

This paper cites Resolving lexical bias in edit scoping with projector editor networks.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Resolving lexical bias in edit scoping with projector editor networks

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:30.733611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation d579ade6-5c3d-4525-8c74-7a299e5c6229 · outbound

This paper cites Controlling Language and Diffusion Models by Transporting Activations.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Controlling Language and Diffusion Models by Transporting Activations

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:30.709811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation bda81e17-c52b-4f00-a9e6-f85f3e6f467e · outbound

This paper cites Neuron-level Interpretation of Deep NLP Models: A Survey.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Neuron-level Interpretation of Deep NLP Models: A Survey

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:30.695118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation dad189bc-7da1-49e1-96ba-33b255adffd6 · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T04:12:30.752551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 329d1fed-7554-4b4e-b5d3-6fe868a953e4 · outbound

This paper cites doi:10.18653/v1/D18-1404 , editor =.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution doi:10.18653/v1/D18-1404 , editor =

Reference 24

Resolution: verified exact; doi, observed 2026-05-23T04:12:30.456167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a80d1d9a-2f0b-44e1-80e5-f7ad5e910443 · outbound

This paper cites Recursive deep models for semantic compositionality over a sentiment treebank.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Recursive deep models for semantic compositionality over a sentiment treebank

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.041610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 52be3022-45f1-41fb-8b44-15b45d630c6a · outbound

This paper cites Self-conditioning pre-trained language models.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Self-conditioning pre-trained language models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:30.682853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c731cc6d-0666-4aa3-bfe5-f40ab320901f · outbound

This paper cites Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Whispering Experts: Neural Interventions for Toxicity Mitigation in Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:30.771990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 57312958-91a5-4004-a572-8a58c4a95414 · outbound

This paper cites an unresolved cited work.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-23T04:12:32.049703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fa791cee-83bb-46fc-8113-064ac5da7c86 · outbound

This paper cites 37 Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, and Yongfeng Zhang.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution 37 Wenyue Hua, Lizhou Fan, Lingyao Li, Kai Mei, Jianchao Ji, Yingqiang Ge, Libby Hemphill, and Yongfeng Zhang

Reference 29

Resolution: verified exact; doi, observed 2026-05-23T04:12:30.461576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3bf0021b-71a8-4a60-9c62-e803254677e2 · outbound

This paper cites Axiomatic Attribution for Deep Networks.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Axiomatic Attribution for Deep Networks

Reference 30

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T04:12:30.688500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation f4312072-be5e-4428-afdc-b1cd7b754fe5 · outbound

This paper cites Diagnostic classifiers: Revealing how neural networks process hierarchical structure.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Diagnostic classifiers: Revealing how neural networks process hierarchical structure

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.070245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 1a9fa16f-8cb0-4d7a-b54a-e27ed242245f · outbound

This paper cites Neurons in Large Language Models: Dead, N-gram, Positional.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Neurons in Large Language Models: Dead, N-gram, Positional

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:12:30.739928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fc993fdc-01c8-47e3-954e-7cb6e21ea426 · outbound

This paper cites Assessing the brittleness of safety alignment via pruning and low-rank modifications.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Assessing the brittleness of safety alignment via pruning and low-rank modifications

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.077945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ab58480a-7b06-4482-bd9a-d6eb27f1be07 · outbound

This paper cites zeroing out.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution zeroing out

Reference 34

Resolution: malformed identifier; raw_fallback, observed 2026-05-23T04:12:32.073780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 54445769-4bba-468c-afd8-196424c4e87a · outbound

This paper cites Here, x represents neuron activation.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Here, x represents neuron activation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.086371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 29c2b9b7-c9c6-4642-a8e2-4b525e382a6b · outbound

This paper cites Values within the range are scaled proportionally based on their normalized distance from the mean.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution Values within the range are scaled proportionally based on their normalized distance from the mean

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.082175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 44c5f3ef-c847-4af9-b30c-e78195e0527a · outbound

This paper cites The magnitude of the means is then considered as a ranking for concept c.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution The magnitude of the means is then considered as a ranking for concept c

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.053718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation ab98653d-a2e8-4bfc-8cdd-f7377c8beac1 · outbound

This paper cites The element-wise difference between mean vectors is computed as r =P c,c′∈C |q(c) − q(c′)|, where r ∈ Rd and d is the hidden dimension.

Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution The element-wise difference between mean vectors is computed as r =P c,c′∈C |q(c) − q(c′)|, where r ∈ Rd and d is the hidden dimension

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T04:12:32.028677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Pith citing papers

Observation 1f73b222-f65e-49ae-933c-f21df051a62e · inbound

Training, Reading, and Editing Legible Transformers cites this paper.

Training, Reading, and Editing Legible Transformers Neurons Speak in Ranges: Breaking Free from Discrete Neuronal Attribution

Reference 74

Resolution: unresolved; no resolver link, observed 2026-07-13T05:35:58.568346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.