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Paper Citation Record · LEDGER

The Origins of Representation Manifolds in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 20 inbound Pith citation observations for arXiv:2505.18235.

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

pith.paper-citation-record.v1
2505.18235 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:43:19.498700Z

measured 69 of 69 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:07:01.934755Z

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

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved13
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External citation measurements

2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b99b9d22-5fff-4d38-b678-69dc98a2c839 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

The Origins of Representation Manifolds in Large Language Models Understanding intermediate layers using linear classifier probes

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation b7eff14d-068e-4adb-b993-a23c44ca5c2a · outbound

This paper cites Intrinsic dimension of data representations in deep neural networks.

The Origins of Representation Manifolds in Large Language Models Intrinsic dimension of data representations in deep neural networks

Reference 2

Resolution
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Source-reported events for the cited work

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Observation e6264137-529e-4459-bfa3-695329746bcd · outbound

This paper cites Linear Algebraic Structure of Word Senses , with Applications to Polysemy.

The Origins of Representation Manifolds in Large Language Models Linear Algebraic Structure of Word Senses , with Applications to Polysemy

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5f67a230-3935-40bf-a1c2-2ebc8c0e746e · outbound

This paper cites Superintelligence: Paths , Dangers , Strategies.

The Origins of Representation Manifolds in Large Language Models Superintelligence: Paths , Dangers , Strategies

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f0f0176a-6d68-4f59-9abb-8b438b28b19f · outbound

This paper cites Towards Monosemanticity : Decomposing Language Models With Dictionary Learning.

The Origins of Representation Manifolds in Large Language Models Towards Monosemanticity : Decomposing Language Models With Dictionary Learning

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e7d31fc9-770e-4bc7-856d-8b0cbe43c580 · outbound

This paper cites A course in metric geometry.

The Origins of Representation Manifolds in Large Language Models A course in metric geometry

Reference 6

Resolution
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Source-reported events for the cited work

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Observation a2e32df0-5dac-44ea-9a18-723c27951ae9 · outbound

This paper cites Showing SAE Latents Are Not Atomic Using Meta - SAEs.

The Origins of Representation Manifolds in Large Language Models Showing SAE Latents Are Not Atomic Using Meta - SAEs

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dfd3766a-5b5b-4a41-998c-1079183e7dfb · outbound

This paper cites Learning Multi-Level Features with Matryoshka Sparse Autoencoders.

The Origins of Representation Manifolds in Large Language Models Learning Multi-Level Features with Matryoshka Sparse Autoencoders

Reference 8

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 29ced394-195a-4f4e-961b-e72bd32c8047 · outbound

This paper cites Isotropy in the contextual embedding space: Clusters and manifolds.

The Origins of Representation Manifolds in Large Language Models Isotropy in the contextual embedding space: Clusters and manifolds

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 9f8b1caa-4d56-4553-9807-e90d91a6f93c · outbound

This paper cites Chang, Zhuowen Tu, and Benjamin K.

The Origins of Representation Manifolds in Large Language Models Chang, Zhuowen Tu, and Benjamin K

Reference 10

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 90cc3e90-21fc-403d-86c3-ea07d6f0baa9 · outbound

This paper cites A new coefficient of correlation.

The Origins of Representation Manifolds in Large Language Models A new coefficient of correlation

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 16ae5cca-c18a-4f49-b5b7-8e4ca8f51c58 · outbound

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

The Origins of Representation Manifolds in Large Language Models Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:15.806771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f8a1505a-92bc-4c10-8f28-2d82720c6895 · outbound

This paper cites Sparse and redundant representations: from theory to applications in signal and image processing.

The Origins of Representation Manifolds in Large Language Models Sparse and redundant representations: from theory to applications in signal and image processing

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 69acf066-d68a-48b9-94fa-09008a387adf · outbound

This paper cites A Mathematical Framework for Transformer Circuits.

The Origins of Representation Manifolds in Large Language Models A Mathematical Framework for Transformer Circuits

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 7e8bfc4c-b251-4ce6-ae9d-ac866a590298 · outbound

This paper cites Toy Models of Superposition.

The Origins of Representation Manifolds in Large Language Models Toy Models of Superposition

Reference 15

Resolution
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Source-reported events for the cited work

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Observation bb25d6fc-18bd-4505-b463-91678d4b7de5 · outbound

This paper cites Michaud, Isaac Liao, Wes Gurnee, and Max Tegmark.

The Origins of Representation Manifolds in Large Language Models Michaud, Isaac Liao, Wes Gurnee, and Max Tegmark

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation dc3de097-060c-4326-99a6-88ec9733360d · outbound

This paper cites SimCSE : Simple Contrastive Learning of Sentence Embeddings.

The Origins of Representation Manifolds in Large Language Models SimCSE : Simple Contrastive Learning of Sentence Embeddings

Reference 17

Resolution
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Source-reported events for the cited work

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Observation 44f3ad94-9e58-4e7f-ba89-d0075f1f9687 · outbound

This paper cites Minimax manifold estimation.

The Origins of Representation Manifolds in Large Language Models Minimax manifold estimation

Reference 18

Resolution
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Source-reported events for the cited work

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Observation 76c990ee-a1c9-4825-a5ad-2e921c6e77b1 · outbound

This paper cites Curve Detector Manifolds in InceptionV1 , August 2024.

The Origins of Representation Manifolds in Large Language Models Curve Detector Manifolds in InceptionV1 , August 2024

Reference 19

Resolution
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Source-reported events for the cited work

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Observation bd6863db-426d-4539-8d09-152ae2f1af4b · outbound

This paper cites Language Models Represent Space and Time.

The Origins of Representation Manifolds in Large Language Models Language Models Represent Space and Time

Reference 20

Resolution
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Source-reported events for the cited work

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Observation e8cc8f59-0d52-4fd1-9166-3cad0003eeb1 · outbound

This paper cites The functional relevance of probed information: A case study.

The Origins of Representation Manifolds in Large Language Models The functional relevance of probed information: A case study

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation d74121c3-27d1-4cbc-9b72-b13b9bfae20b · outbound

This paper cites Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks.

The Origins of Representation Manifolds in Large Language Models Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 23247f02-6495-4d05-a0c0-ee1ee87d6192 · outbound

This paper cites Towards a Definition of Disentangled Representations.

The Origins of Representation Manifolds in Large Language Models Towards a Definition of Disentangled Representations

Reference 23

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f9d5248d-17e9-498e-9e45-6df2bfda2032 · outbound

This paper cites Identifiability of latent-variable and structural-equation models: from linear to nonlinear.

The Origins of Representation Manifolds in Large Language Models Identifiability of latent-variable and structural-equation models: from linear to nonlinear

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e837ce7e-f4ef-4691-9f0d-49243361df79 · outbound

This paper cites Calendar feature geometry in GPT -2 layer 8 residual stream SAEs.

The Origins of Representation Manifolds in Large Language Models Calendar feature geometry in GPT -2 layer 8 residual stream SAEs

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 53a43a46-3113-4e1e-b85c-859bc393fd8e · outbound

This paper cites On the Sentence Embeddings from Pre -trained Language Models.

The Origins of Representation Manifolds in Large Language Models On the Sentence Embeddings from Pre -trained Language Models

Reference 26

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e8f1bccf-40d0-4d52-9f5b-56844db0ba47 · outbound

This paper cites Emergent world representations: Exploring a sequence model trained on a synthetic task.

The Origins of Representation Manifolds in Large Language Models Emergent world representations: Exploring a sequence model trained on a synthetic task

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a1e1f941-ad54-43f4-9273-ab52ba7f150e · outbound

This paper cites The geometry of concepts: Sparse autoencoder feature structure.

The Origins of Representation Manifolds in Large Language Models The geometry of concepts: Sparse autoencoder feature structure

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c9bac453-9301-472e-82ce-c0a21a7789e9 · outbound

This paper cites Neuronpedia: Interactive reference and tooling for analyzing neural networks, 2024.

The Origins of Representation Manifolds in Large Language Models Neuronpedia: Interactive reference and tooling for analyzing neural networks, 2024

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0aee2a6f-b66b-4506-8770-21a1a2efa65f · outbound

This paper cites Towards understanding grokking: An effective theory of representation learning.

The Origins of Representation Manifolds in Large Language Models Towards understanding grokking: An effective theory of representation learning

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ba84dc28-11da-4e8c-8a19-92139dc6c624 · outbound

This paper cites SAE feature geometry is outside the superposition hypothesis.

The Origins of Representation Manifolds in Large Language Models SAE feature geometry is outside the superposition hypothesis

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:23.375635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 28b6f9c3-f1c4-4991-86d0-003fe764225c · outbound

This paper cites XKCD Color Name Survey Results , 2010.

The Origins of Representation Manifolds in Large Language Models XKCD Color Name Survey Results , 2010

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.793022Z digest=sha256:577e89645258996532a7100b4b7049d37ef7e69dbdb5248d602de11cc2718a6a

Observation 0143ebd7-dd4a-434b-bd05-b5fbd858118c · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

The Origins of Representation Manifolds in Large Language Models Progress measures for grokking via mechanistic interpretability

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:22.884564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.920204Z digest=sha256:475dc8b158be0fbade23571630e886a7b9a6ecd0ced963c8987330a5836cdb86

Observation d40b9a34-3608-482d-b5ea-b4fee4a0d62e · outbound

This paper cites Emergent Linear Representations in World Models of Self-Supervised Sequence Models.

The Origins of Representation Manifolds in Large Language Models Emergent Linear Representations in World Models of Self-Supervised Sequence Models

Reference 34

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:18.021974Z digest=sha256:41e97ff7fcc0ee284ab99afb97346d4627bd6ef50784c6259e04f329bbcef58b

Observation 2783449a-572f-4338-8ebd-890f470c0c4a · outbound

This paper cites What is a Linear Representation ? What is a Multidimensional Feature ? Transformer Circuits Thread, 2024.

The Origins of Representation Manifolds in Large Language Models What is a Linear Representation ? What is a Multidimensional Feature ? Transformer Circuits Thread, 2024

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:22.604520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.112656Z digest=sha256:80472f510af89545b856f90b9c6520dcaf6094594f363e3430086a07eda43e8a

Observation cafd1368-0c17-4f9b-81f2-ff9c1ca4468e · outbound

This paper cites Feature Manifold Toy Model.

The Origins of Representation Manifolds in Large Language Models Feature Manifold Toy Model

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:22.347850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.211672Z digest=sha256:a3bec94c3b8c93e2472a1b132216d0373187966c1db8e0cd0b897ccf63d1c31d

Observation c2107f3b-7a75-4de9-9776-e1bbe4aee31a · outbound

This paper cites The Geometry of Categorical and Hierarchical Concepts in Large Language Models.

The Origins of Representation Manifolds in Large Language Models The Geometry of Categorical and Hierarchical Concepts in Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:18.314226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:18.314226Z digest=sha256:a7c96655b5f1611aa4178561c29aa5ee73ce578b60edefa3437adf534072fe04

Observation f9596bb0-7d8e-47af-a24b-0b9455821fea · outbound

This paper cites Disentangling by subspace diffusion.

The Origins of Representation Manifolds in Large Language Models Disentangling by subspace diffusion

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:22.083571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.392919Z digest=sha256:74ef6f0c74aae842b8c7f0d826bcb90c8712fac59128ce0b06f9fd81882468ca

Observation 47f4e480-d8eb-47ae-b4cb-85cfc90c7088 · outbound

This paper cites Language Models are Unsupervised Multitask Learners.

The Origins of Representation Manifolds in Large Language Models Language Models are Unsupervised Multitask Learners

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:18.490619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:18.490619Z digest=sha256:7964af37ab47a6a1faebe59982272f0b373b94b9c48057086a49eed30f65759e

Observation c7691735-4888-424d-b969-da98bb5dfc7b · outbound

This paper cites Vogt, Randall Balestriero, Wieland Brendel, and David A.

The Origins of Representation Manifolds in Large Language Models Vogt, Randall Balestriero, Wieland Brendel, and David A

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:21.820237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.601745Z digest=sha256:c8b5f312d80892b2cfe8e0a9cd660a5dec011ced234078ceaa5fb2b692390456

Observation 666984ce-5e3b-49c2-9175-16deafa3807c · outbound

This paper cites Shai, Lucas Teixeira, Alexander Gietelink Oldenziel, Sarah Marzen, and Paul M.

The Origins of Representation Manifolds in Large Language Models Shai, Lucas Teixeira, Alexander Gietelink Oldenziel, Sarah Marzen, and Paul M

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:21.548636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.693936Z digest=sha256:5570be62afb663c3750385a7d3e2a119f5a09edfcdb6b410ad51f69ec28979f0

Observation 03797c67-c0bf-4880-b31c-04e0f29ef2d2 · outbound

This paper cites The ‘strong’ feature hypothesis could be wrong.

The Origins of Representation Manifolds in Large Language Models The ‘strong’ feature hypothesis could be wrong

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:21.281893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.783111Z digest=sha256:cdef20fd2c46e6d61267fe261aabec53b6905e07ac959afde16deb7e47e62faf

Observation 339d6178-ae3a-421a-b512-d9eca0c9e426 · outbound

This paper cites Tensor product variable binding and the representation of symbolic structures in connectionist systems.

The Origins of Representation Manifolds in Large Language Models Tensor product variable binding and the representation of symbolic structures in connectionist systems

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:21.073044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.880298Z digest=sha256:1403b6fb052c7c20ff209d3982414743c527903c1177985fa7e910c9cec1fc46

Observation 3628429e-6c76-4bcf-8498-dcac3cd0769e · outbound

This paper cites Agent foundations for aligning machine intelligence with human interests: a technical research agenda.

The Origins of Representation Manifolds in Large Language Models Agent foundations for aligning machine intelligence with human interests: a technical research agenda

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:20.821957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.957270Z digest=sha256:f140b10f4e15e2271bee3d35f608ed86e7148b0b7b6db2c07c8ad2cfc8b3f0a2

Observation 7277e41e-51ba-4620-bf59-332bdc994fc3 · outbound

This paper cites Sutherland.

The Origins of Representation Manifolds in Large Language Models Sutherland

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:20.591534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.066296Z digest=sha256:d2b23f0295dc71dc7c01a446ad00a6d4d81d59bf199cdf02077da6eaa683b606

Observation 4d980b8d-7918-4130-ad29-96196bfdb3c5 · outbound

This paper cites Turner, Callum McDougall, Monte MacDiarmid, Alex Tamkin, Esin Durmus, Tristan Hume, Francesco Mosconi, C.

The Origins of Representation Manifolds in Large Language Models Turner, Callum McDougall, Monte MacDiarmid, Alex Tamkin, Esin Durmus, Tristan Hume, Francesco Mosconi, C

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:20.390710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.199821Z digest=sha256:62c4fccb7d4e53cc3f51cfc99922207f367196acdcf4471d24957a5cc5952cdb

Observation a6e8b1e3-c881-46ba-b99b-3ffd9e2cf2e3 · outbound

This paper cites an unresolved cited work.

The Origins of Representation Manifolds in Large Language Models Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T14:43:19.276831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:19.276831Z digest=sha256:e8278e727f4ba2226c1f21b595d2230cfb090734a49f360e5c1d13536b763ed8

Observation 3028c955-d118-4ec0-a1c8-ab89fcf55d15 · outbound

This paper cites The clock and the pizza: Two stories in mechanistic explanation of neural networks.

The Origins of Representation Manifolds in Large Language Models The clock and the pizza: Two stories in mechanistic explanation of neural networks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:20.147472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.382412Z digest=sha256:ace8f59519ca2f6b039211e622951c0a255891093f7352480a5e2aa1305c6ba9

Observation e7392b5d-e701-46d6-b6b3-23dfa698a894 · outbound

This paper cites Contrastive learning inverts the data generating process.

The Origins of Representation Manifolds in Large Language Models Contrastive learning inverts the data generating process

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:19.886650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.498700Z digest=sha256:4f966b5446de628a5688df6889106c6f58b91c16859187190c1fe5e427df2648

Pith citing papers

Observation d8afcab1-df08-4429-bcb6-c2e63858c4c5 · inbound

Latent Trajectory Dynamics in Large Language Models: A Manifold Evolution Framework with Empirical Validation cites this paper.

Latent Trajectory Dynamics in Large Language Models: A Manifold Evolution Framework with Empirical Validation The Origins of Representation Manifolds in Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T12:57:17.821145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T12:55:31.950743Z digest=sha256:7aeb0d2ede36585c6b457834e55bd8283bbca1b1afd5331cc9a0bbd955e56f8d

Observation cc5ada7b-ab23-497a-8f49-86320a0b4bfb · inbound

The Cylindrical Representation Hypothesis for Language Model Steering cites this paper.

The Cylindrical Representation Hypothesis for Language Model Steering The Origins of Representation Manifolds in Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:15:09.267072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T00:10:29.122196Z digest=sha256:c44a08882c06092cf00391fa7ad871e48896ae3e16f54fcb2db12e97244ffca0

Observation 527d51e2-f964-472d-bc66-4981e5a884ff · inbound

SMIXAE: Towards Unsupervised Manifold Discovery in Language Models cites this paper.

SMIXAE: Towards Unsupervised Manifold Discovery in Language Models The Origins of Representation Manifolds in Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:56:18.880376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T02:55:07.317277Z digest=sha256:d9a54de64547d3ea460a582f4773081efd104c68b593db9aea1e3fff10d147d4

Observation 88aff8a9-85ee-4a9a-8198-8f545318fa87 · inbound

Tensor Product Representation Probes Reveal Shared Structure Across Linear Directions cites this paper.

Tensor Product Representation Probes Reveal Shared Structure Across Linear Directions The Origins of Representation Manifolds in Large Language Models

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:16:30.239832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:31:40.195348Z digest=sha256:e5b430b50fa36461cab519a9204f63defc1710f33e7cd205ab19ce5145edd5e5

Observation 3cf9cce7-bc6f-4b35-af58-dfc85c9e3603 · inbound

Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity cites this paper.

Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity The Origins of Representation Manifolds in Large Language Models

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T05:09:46.272156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T05:05:01.099084Z digest=sha256:134b6423fd5fce12dd4ab17ceb3efb481f37dacb8275bca0c005fc8c3e9b28f6

Observation 78de1104-d534-4aee-af4f-0cf48c7c05e4 · inbound

Probing for Representation Manifolds in Superposition cites this paper.

Probing for Representation Manifolds in Superposition The Origins of Representation Manifolds in Large Language Models

Reference 97

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:48:15.068720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T11:46:34.184997Z digest=sha256:b389c4d74c6fa423566e544aa652a8294024c37b11af71ba233e87b6d9a7ef4d

Observation 182345b5-120c-4851-a916-da5cff804617 · inbound

Latent-space Attacks for Refusal Evasion in Language Models cites this paper.

Latent-space Attacks for Refusal Evasion in Language Models The Origins of Representation Manifolds in Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-22T09:01:19.872169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T08:59:01.484220Z digest=sha256:d0e524957a91d78d33f9697aab26bda08e9443cd1006eb2fb9f714dad1b9e72f

Observation 85a8efce-804a-4801-96d7-60026958462a · inbound

Latent-space Attacks for Refusal Evasion in Language Models cites this paper.

Latent-space Attacks for Refusal Evasion in Language Models The Origins of Representation Manifolds in Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:14:57.297855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T17:06:47.985452Z digest=sha256:a0325757b0b83f997c1768df65bb3bf8c731539b760bac018be468e68d1510f0

Observation 09e89b33-c9b1-4cdc-a356-cbfd044e99a6 · inbound

Hierarchical Concept Geometry in Language Models Emerges from Word Co-occurrence cites this paper.

Hierarchical Concept Geometry in Language Models Emerges from Word Co-occurrence The Origins of Representation Manifolds in Large Language Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-25T04:15:19.978550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T04:13:43.773920Z digest=sha256:83ecf10e1dda824c1513b5bb33080059677f76ba187be1818192c77033659a94

Observation 13322f55-08a3-40e9-8a88-02db4438109e · inbound

When and How Long? The Readout-Mediator Angle in Temporal Reasoning cites this paper.

When and How Long? The Readout-Mediator Angle in Temporal Reasoning The Origins of Representation Manifolds in Large Language Models

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:33:27.891138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T13:31:46.930585Z digest=sha256:312824fcc859407f8c3ca5b6cc43b624d36a9766e638671a051ef87818529707

Observation d10c6e46-3162-45aa-bf8d-d733cc156fa7 · inbound

Temporal Preference Concepts and their Functions in a Large Language Model cites this paper.

Temporal Preference Concepts and their Functions in a Large Language Model The Origins of Representation Manifolds in Large Language Models

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:05:47.022992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T22:16:47.743387Z digest=sha256:3398374f7173e3501407768fae9dc90aa71673572f0873233453008bc3de538f

Observation 0e3be527-d0e3-4a45-b8c5-4842c3c57f7b · inbound

Temporal Preference Concepts and their Functions in a Large Language Model cites this paper.

Temporal Preference Concepts and their Functions in a Large Language Model The Origins of Representation Manifolds in Large Language Models

Reference 77

Resolution
unresolved
no resolver link, observed 2026-07-12T17:03:44.315006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T17:03:44.315006Z digest=sha256:d158570b1cdb8bbd42a7e198b24d5152030f4ddb7dc8a1ee7f782efea2fc37b9

Observation 49638904-6a8f-43f4-9462-69cb9bc639a2 · inbound

LoRi: Low-Rank Distillation for Implicit Reasoning cites this paper.

LoRi: Low-Rank Distillation for Implicit Reasoning The Origins of Representation Manifolds in Large Language Models

Reference 13

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:06:48.369770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T06:20:42.184829Z digest=sha256:c902332d7aac52ad075c819a3b13763817431822b7d4522141c6f5c37d6275bf

Observation 7cb3236e-b1ae-4be1-9569-aa01b438ee85 · inbound

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability cites this paper.

Subspace-Aware Sparse Autoencoders for Effective Mechanistic Interpretability The Origins of Representation Manifolds in Large Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-28T02:11:29.082612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T02:07:18.198225Z digest=sha256:664eff0e530eaebed888a236c2babac55d4d9c1b85660969144b2c76efdf7024

Observation f69f8c32-2e6d-426d-a27d-323ddd049abe · inbound

A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations cites this paper.

A Navigable Manifold of Hypothesized Consciousness-Spectrum States in Language Model Representations The Origins of Representation Manifolds in Large Language Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:36:54.973447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T03:26:09.556001Z digest=sha256:5574f4845c53c1ebe0f98c0aaa959603ec5c12fb5f5f22af131d7ffe31735033

Observation 801c99a0-03c4-44f9-a7dc-3c9b6ba2d422 · inbound

Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds cites this paper.

Structuring Sparsity: Block-Sparse Featurizers Capture Visual Concept Manifolds The Origins of Representation Manifolds in Large Language Models

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-07-04T17:09:58.956891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-25T23:54:29.531368Z digest=sha256:403bd9ec0a8434d9e73bc8879f9e4f76b6e32c03de970acaf442a4bcbdc4e8ef

Observation f61fed54-1abb-43ee-97b0-039b21eb2b8d · inbound

Does Aurora Encode Atmospheric Structure? Latent Regime Analysis and Attribution cites this paper.

Does Aurora Encode Atmospheric Structure? Latent Regime Analysis and Attribution The Origins of Representation Manifolds in Large Language Models

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T15:39:56.431592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T01:32:45.450999Z digest=sha256:0c08d5f8098b244cbe857847a6adeec129e81ff2ba164c885a9d4d300345acde

Observation 6739638f-79d0-49ed-8f6e-3771fdb86000 · inbound

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization cites this paper.

At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization The Origins of Representation Manifolds in Large Language Models

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-06-26T01:28:50.532285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T01:27:39.812228Z digest=sha256:1b415d1c39d2dd764d377d71d42be3e90f27bc323de1504b54c409f10ddce5df

Observation 5c8bf4ca-5667-42b1-9600-f3f00b1404bf · inbound

Subliminal Clocks: Latent Time Modelling in Diffusion Language Models cites this paper.

Subliminal Clocks: Latent Time Modelling in Diffusion Language Models The Origins of Representation Manifolds in Large Language Models

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:58:21.253515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-03T13:48:58.653341Z digest=sha256:2a9cc737701049e547340ae3263f8692cdb4b7e8878093e4ab23dccb78696f12

Observation e0755394-259c-485e-b874-572395d87b75 · inbound

Subliminal Clocks: Latent Time Modelling in Diffusion Language Models cites this paper.

Subliminal Clocks: Latent Time Modelling in Diffusion Language Models The Origins of Representation Manifolds in Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T09:07:01.934755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:07:01.934755Z digest=sha256:f80f31fa800c4fa4e729c6999451825ca48dae185541ff6b3028ebe581de9d42