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Paper Citation Record · LEDGER

Knowledge Circuits in Pretrained Transformers

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2405.17969.

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

pith.paper-citation-record.v1
2405.17969 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:50:51.229321Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T03:12:28.711457Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fd82dd60-88e8-4f6e-9787-82e3c8b5dd33 · inbound

Paying Attention to Facts: Quantifying the Knowledge Capacity of Attention Layers cites this paper.

Paying Attention to Facts: Quantifying the Knowledge Capacity of Attention Layers Knowledge Circuits in Pretrained Transformers

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T20:25:25.335296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:25:25.335296Z digest=sha256:75016c35aa47b15beaeb02aa525eb3a2b83bf2950e9c5e875d4bd061175f891f

Observation b8a97691-e9d2-4afb-8bac-849289a8579a · inbound

Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning cites this paper.

Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning Knowledge Circuits in Pretrained Transformers

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T22:56:40.319847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:56:40.319847Z digest=sha256:d7644705e6cd2e1886845303a73a3767c42eed5ed8ebb59c556dd0049d513b3d

Observation c71b59c3-603b-4c87-b2e0-6e4877aa3593 · inbound

FoNE: Precise Single-Token Number Embeddings via Fourier Features cites this paper.

FoNE: Precise Single-Token Number Embeddings via Fourier Features Knowledge Circuits in Pretrained Transformers

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.714536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-23T03:07:37.363965Z digest=sha256:31d31dbb3705317200e00efdd5341d837ca59face073462eef0112539dfc8ad3

Observation 97013de1-c4cc-4799-8a93-b1b66111c11a · inbound

Functional Abstraction of Knowledge Recall in Large Language Models cites this paper.

Functional Abstraction of Knowledge Recall in Large Language Models Knowledge Circuits in Pretrained Transformers

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T11:50:51.229321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:50:51.229321Z digest=sha256:e46a2e5fdff90f084f6374d7ef891d7f861fe8ad44167fd1ab40fbdb0a5566cd

Observation 19e78b95-87eb-4b46-8dbd-23ec1803630f · inbound

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis cites this paper.

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis Knowledge Circuits in Pretrained Transformers

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T15:39:21.158236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:39:21.158236Z digest=sha256:db8039542c5ee9fc9153760a77a1efffc35babd884078973ad59a03e3b1a0fa9

Observation b50eff71-d362-4bc0-b505-bbc2919538a1 · inbound

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace cites this paper.

GloSS over Toxicity: Understanding and Mitigating Toxicity in LLMs via Global Toxic Subspace Knowledge Circuits in Pretrained Transformers

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:34.207035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:42:34.207035Z digest=sha256:754862298e8c27343a5968e1d40450fee9ce14bcfd9718ae7836ac8b84fada75

Observation 205f2606-6fb5-4f8a-b296-a84e9ebbc4d0 · inbound

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline cites this paper.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Knowledge Circuits in Pretrained Transformers

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:20.267317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:20.267317Z digest=sha256:b283a5da744838c9de07455a662244ac6ffefd08c29ab97ca40d4445cc68fb40

Observation 9df6e3ce-a2f1-4169-8df6-dc4733a4e8d2 · inbound

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities cites this paper.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Knowledge Circuits in Pretrained Transformers

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T13:43:24.087726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:24.087726Z digest=sha256:c065f13f975ce47ce753bd5b468a84bd624b625572e7b70fa28cf750363bfa95

Observation 8c761e32-763f-49b0-882a-188400c7297a · inbound

Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing cites this paper.

Do We Know What LLMs Don't Know? A Study of Consistency in Knowledge Probing Knowledge Circuits in Pretrained Transformers

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T13:30:25.090194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:30:25.090194Z digest=sha256:d2f4969eaaac677ee1c2730f89e2148eebd4eb5741a49edf2ab2a8390d1c6717

Observation f2b6a509-cff4-4038-97af-649961b78b42 · inbound

COMPKE: Complex Question Answering under Knowledge Editing cites this paper.

COMPKE: Complex Question Answering under Knowledge Editing Knowledge Circuits in Pretrained Transformers

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:23.687843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:23.687843Z digest=sha256:8348875443436fa57f72f2005f06e3b80e37e40a0dbf590742707e678dce7e7b

Observation 62a6dff9-fa4b-41a5-83b7-798521dfa5b2 · inbound

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer cites this paper.

Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer Knowledge Circuits in Pretrained Transformers

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T11:57:22.877534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:57:22.877534Z digest=sha256:64baeea9cd792682784305081d8d4a7adf4d8506011d9d4b7566c99aa51e8b88

Observation bebc3d6b-e436-4939-9f55-ef9df5925f0f · inbound

HALT: Verification-Aware Stopping for Retrieval-Augmented Search Agents cites this paper.

HALT: Verification-Aware Stopping for Retrieval-Augmented Search Agents Knowledge Circuits in Pretrained Transformers

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T16:52:13.967883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:52:13.967883Z digest=sha256:b4720bc12f6f03cd262cabe0d4fc7c450abd52a847f47569171fd2ad47296599

Observation 50badc12-ff79-4932-add8-b23d39f6e126 · inbound

HALT: Verification-Aware Stopping for Retrieval-Augmented Search Agents cites this paper.

HALT: Verification-Aware Stopping for Retrieval-Augmented Search Agents Knowledge Circuits in Pretrained Transformers

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:07.303680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:16:07.303680Z digest=sha256:b90449c6d5bf27674cf73d556dfb1f0216716025a928ef844dbbe7950dfca4d1

Observation aacbc0b6-f47a-486f-b8cb-e0eeb5bf3d85 · inbound

Reasoning Errors Have a Region and a Direction in the Residual-Stream Trajectory of LLMs cites this paper.

Reasoning Errors Have a Region and a Direction in the Residual-Stream Trajectory of LLMs Knowledge Circuits in Pretrained Transformers

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T04:41:09.748495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:41:09.748495Z digest=sha256:f53cf5e45e0c95706789801e8b9d29a838446631634c1d5cbc54aa25d269e72d