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Paper Citation Record · LEDGER

NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2407.14561.

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

pith.paper-citation-record.v1
2407.14561 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:29:17.054612Z

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

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External citation measurements

2
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 5d78b88e-a629-4b19-affc-ad9c8d34693f · inbound

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers cites this paper.

Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in Transformers NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 16

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no resolver link, observed 2026-08-12T21:29:17.054612Z

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source=arxiv_source observed=2026-08-12T21:29:17.054612Z digest=sha256:f0b5ebf0462507af06a8673752be9eb7f9c83396420b9f0641eaa71fb6ececb9

Observation 752e6b49-2c2e-4846-8c48-84e6bade0068 · inbound

Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models cites this paper.

Incremental Sentence Processing Mechanisms in Autoregressive Transformer Language Models NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 18

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source=arxiv_source observed=2026-08-11T20:54:02.147726Z digest=sha256:fcfa5d1c4a83bc1991a41ba05b4a0e7c14053c21d1c5f5064cc3d3785a459eb1

Observation 14c1bb1a-c0df-4826-b881-fc932f61df5a · inbound

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders cites this paper.

InterPLM: Discovering Interpretable Features in Protein Language Models via Sparse Autoencoders NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 26

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no resolver link, observed 2026-08-12T21:17:17.186855Z

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source=pdf_text observed=2026-08-12T21:17:17.186855Z digest=sha256:8333606b4b806830226470790717b065a16b0a06ed2e5e29bec73b3c86067378

Observation aa120fcf-7586-4618-ad2f-3244df00b3b3 · inbound

ICLR: In-Context Learning of Representations cites this paper.

ICLR: In-Context Learning of Representations NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 18

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source=arxiv_source observed=2026-08-10T23:24:01.448947Z digest=sha256:2672303d77da6b6db6f772555d62c3ae7bd895cdb4bdce8d7a9880ca61d2c294

Observation 5fa27700-8870-44ae-bdbe-d05979af7c28 · inbound

Language Models Use Trigonometry to Do Addition cites this paper.

Language Models Use Trigonometry to Do Addition NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 8

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no resolver link, observed 2026-08-09T17:29:00.129361Z

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source=arxiv_source observed=2026-08-09T17:29:00.129361Z digest=sha256:06ce3cdf0a6622fb69e93cab56f715fba2370052120052999564b015166bb0fc

Observation e23a1429-a9c2-4f0a-9a4b-bbf2b4071e01 · inbound

Explaining Neural Networks with Reasons cites this paper.

Explaining Neural Networks with Reasons NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 14

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no resolver link, observed 2026-08-07T15:42:39.708705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:39.708705Z digest=sha256:1151ea12368a4737aec6200e6438571d2f4cc9a1b58683d999b6b0c7592c0e29

Observation 900de5dd-096c-4949-a385-bf380ed301f8 · inbound

Steering Large Language Models for Machine Translation Personalization cites this paper.

Steering Large Language Models for Machine Translation Personalization NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 10

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no resolver link, observed 2026-08-07T15:01:47.710550Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:01:47.710550Z digest=sha256:9a3a7d02b06e7c54680d4ac77d5924aa6330192fdb0db62ded9d1bc56820d683

Observation b1cb3b1f-d3e1-4ee0-8524-64eaff27958d · inbound

Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models cites this paper.

Inference-Time Decomposition of Activations (ITDA): A Scalable Approach to Interpreting Large Language Models NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 2010

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no resolver link, observed 2026-08-07T14:44:42.266153Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:44:42.266153Z digest=sha256:0a852b0c8c51b5a9bacd111f25a82cededb8349915c90381223f9e58588c35a2

Observation a89a8554-ad1e-4b76-9e14-76dea3809264 · inbound

BlueGlass: A Framework for Composite AI Safety cites this paper.

BlueGlass: A Framework for Composite AI Safety NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 25

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source=arxiv_source observed=2026-08-06T17:46:17.810429Z digest=sha256:8334da319827951de83505665a6b7f83513b222e95869cb4ac0e107038a61f01

Observation f4dfbe94-84ae-46d7-a84e-544643957bfc · inbound

Insights into a radiology-specialised multimodal large language model with sparse autoencoders cites this paper.

Insights into a radiology-specialised multimodal large language model with sparse autoencoders NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 16

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source=arxiv_source observed=2026-08-06T16:40:41.780513Z digest=sha256:edcab0df0d493d0adb4289bb7c42a2aa538888e66942dbe60f6ea3991ae17b6e

Observation 681f64ce-b388-4ce4-9d8f-4c6d968cf882 · inbound

eDIF: A European Deep Inference Fabric for Remote Interpretability of LLM cites this paper.

eDIF: A European Deep Inference Fabric for Remote Interpretability of LLM NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 6

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source=pdf_text observed=2026-08-05T20:24:34.820899Z digest=sha256:56b461fab5ee6ab68ba60b7254b8fc1b082b5b464d863cc93b0653e5c0ac5ac4

Observation 91815c38-55bd-4c28-ad08-35ee9a526ff1 · inbound

Interpreto: An Explainability Library for Transformers cites this paper.

Interpreto: An Explainability Library for Transformers NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 2025

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no resolver link, observed 2026-08-03T17:25:00.637342Z

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source=pdf_text observed=2026-08-03T17:25:00.637342Z digest=sha256:7c670a513f67b58fb22de46e960246eb9494270991ba1b22fdfb8a14b9a40df4

Observation 60583278-e2f9-4184-9cd8-f36b591ae0ff · inbound

Language Triggers Hijack Language Circuits: A Mechanistic Analysis of Backdoor Behaviors in Large Language Models cites this paper.

Language Triggers Hijack Language Circuits: A Mechanistic Analysis of Backdoor Behaviors in Large Language Models NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 2

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no resolver link, observed 2026-08-03T01:12:14.180619Z

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source=arxiv_source observed=2026-08-03T01:12:14.180619Z digest=sha256:3eb6de45327050f116d937b842cbe48a599c59a61efbce5514ea139fa2728e2a

Observation e2ad1504-d358-41d6-ad21-1cae28825b56 · inbound

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task cites this paper.

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 7

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arxiv_id, observed 2026-05-11T10:16:07.456977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-10T15:34:02.796850Z digest=sha256:d548eef0d5e2da86bfdf2ec8e457a6c6c3e0462e02ce9379d7bdf9bc942d9dc0

Observation dfdeff7f-a9ec-4b66-aaec-dcbdaf387e77 · inbound

Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models cites this paper.

Fine-Grained Analysis of Shared Syntactic Mechanisms in Language Models NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 10

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arxiv_id, observed 2026-05-11T19:26:07.438322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-08T12:02:23.825438Z digest=sha256:27dab45a9f47d3ade6533588e768acac9f68888744869e96454a20086f77a725

Observation a44156ff-29cb-4bc9-a5a1-db79464a0f8f · inbound

Enabling Performant and Flexible Model-Internal Observability for LLM Inference cites this paper.

Enabling Performant and Flexible Model-Internal Observability for LLM Inference NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 10

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arxiv_id, observed 2026-05-13T07:17:28.106581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T07:17:13.823853Z digest=sha256:03acebc02e3e3d28d6264184b6f9d726a7873db4f3649d9739ebc0a8ff7aa98b

Observation 808daf4c-ddc5-46c4-a098-27796c6c281e · inbound

Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models cites this paper.

Same Payload, Different Channel: Measuring Trust Asymmetry in Tool-Using Language Models NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 26

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arxiv_id, observed 2026-06-28T19:22:34.405845Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T19:19:17.673497Z digest=sha256:3c96efe0c18e8c59840bf32043d311edd8c3605b388c70a683255a636c342cc1

Observation d56804c0-0ab5-46c3-8fa7-d558230c5af2 · inbound

BrainSurgery: Reproducible and Reliable Declarative Weight Manipulations for Model Editing and Upcycling cites this paper.

BrainSurgery: Reproducible and Reliable Declarative Weight Manipulations for Model Editing and Upcycling NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 15

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arxiv_id, observed 2026-06-27T17:01:07.974299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-27T16:54:48.188242Z digest=sha256:0f123f1ecdb8adb13b2369c589db815e17a389985f05b8e6ed66b94d7d101b9b

Observation 263b2f37-a752-4c2c-a74c-b7f4635129b1 · inbound

One Lens, Many Worlds : A Capability-Typed Interface for World-Model Interpretability cites this paper.

One Lens, Many Worlds : A Capability-Typed Interface for World-Model Interpretability NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 22

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arxiv_id, observed 2026-07-02T22:47:26.186673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-27T18:38:48.128635Z digest=sha256:1150aa80c8d27abd2972f890dda6315ef0b7f59ac9f1fc0e3e307e134d4975b1

Observation 3fc0a186-2dbd-4cad-88ff-b78064f4997c · inbound

Vision-Default, Prior-Override: Causal Mechanisms of Perception-Knowledge Conflict in Vision-Language Models cites this paper.

Vision-Default, Prior-Override: Causal Mechanisms of Perception-Knowledge Conflict in Vision-Language Models NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 3

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metadata mismatch
arxiv_id, observed 2026-07-01T17:15:52.030186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T03:53:04.984303Z digest=sha256:daeed95a099b66d40de266cdf093aed092964e4acf9e48df9bfa89ce9df0a65c

Observation e2a2c05a-2455-486b-96fc-caf80bdd4d97 · inbound

Revealing Hidden Model Behaviors with Task-Specific Self-Reports cites this paper.

Revealing Hidden Model Behaviors with Task-Specific Self-Reports NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 30

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no resolver link, observed 2026-08-02T08:54:22.477887Z

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source=pdf_text observed=2026-08-02T08:54:22.477887Z digest=sha256:5978b23ec81d7fc337d5f837c88733b42b0cfab492e4bb31e1bca73378d3fccf

Observation d7618f8c-e099-4267-960f-3c649562b66b · inbound

Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability cites this paper.

Unboxing Diffusion Models for the Arts: Interactive Model Bending and Practice-Based Explainability NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 22

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source=pdf_text observed=2026-08-01T04:49:02.507832Z digest=sha256:fb68205473213f03f0b8ecc2e51e5db0d7bedb0708d18a116393da9d13241813

Observation ce7224ee-4dc7-4b60-9ae2-783d55a9d15c · inbound

Demystifying Entropy-based Selection for Chain-of-Thought Compression in Large Reasoning Models cites this paper.

Demystifying Entropy-based Selection for Chain-of-Thought Compression in Large Reasoning Models NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 3

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source=pdf_text observed=2026-08-03T00:40:47.391760Z digest=sha256:cd0bf3ab42dc20eff6f894cd98045f1dcaf31d69043d1f02c72b30bc11f89b68

Observation 3e65cca6-c3c9-4485-901d-ea86df4a3e74 · inbound

Activation Probes Surface Code-Security Signals that the Model's Output Misses cites this paper.

Activation Probes Surface Code-Security Signals that the Model's Output Misses NNsight and NDIF: Democratizing Access to Open-Weight Foundation Model Internals

Reference 7

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no resolver link, observed 2026-08-11T13:35:03.856305Z

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source=arxiv_source observed=2026-08-11T13:35:03.856305Z digest=sha256:2aa3396249d7514bddeb09505d812c142084e726a75f67341840ed41a05520a3