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Paper Citation Record · LEDGER

The Origins of Representation Manifolds in Large Language Models

As of 18 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 21 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 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:41:17.931527Z

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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  • malformed identifier0
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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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

Unavailable: canonical work link unavailable.

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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

Resolution
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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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:15.520636Z digest=sha256:ff26f217d33917f9b6142c1923426a4a63a76944c23a58c2d67fa6079a437bd3

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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
verified fuzzy
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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

Unavailable: canonical work link unavailable.

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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

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+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

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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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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 2026-08-17T06:30:58.91139+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
raw_fallback, observed 2026-08-07T14:43:23.120179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.793022Z digest=sha256:8a189cad79de19874cb2d6928a69a331ef17cdc93946834943a182527dbd3481

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.920204Z digest=sha256:67892347e074c0c733646f1abda044c62763ca2dfd81e83c7266dc522207b30f

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=sha256:50243370be3fc779cf17627a21a990ed9f53d5037d63b1cce2d67697668573c4

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 2026-08-17T06:30:58.91139+00:00.

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.211672Z digest=sha256:29712d56133a1a00af2f76bd7d25b6ff77ee76d1a16a68a7b8f3c0aa0ed0ca38

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:dcf268f05a0fc6943acc48fc03461f5de228c57c16a611d0bba7d55b7356a9a2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.392919Z digest=sha256:71daaf624dd122636d0976174b178a656ccf6a14d3e692683b4e31a86bbaf000

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=sha256:18656cb32b1553a01f7df13e9170db3ec481f560b64912f06b93af0961c83640

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.601745Z digest=sha256:0c36c321d4f2eff132e37ef96a82729ab283816dbb2cd213406f8c38cf96ae2d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.693936Z digest=sha256:c05aa90699e5093bfc317e08becd7fb7113bd4e1d56560c63404f42fa235cd83

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.783111Z digest=sha256:8cb0dda6c8247c6bea3426fb6b71ba2fc2380c28152f93578c2a92f2ab8519ef

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.880298Z digest=sha256:927dc7554c56c01926fec9987cbe1cb6d75cbb2c6a28a1651a631b25735d68c2

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.957270Z digest=sha256:2c1f41ee923750d19769a02d638d00fb98fa03fb85235eeb33c398006b7bd2c9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.066296Z digest=sha256:deb2046c3c0167d55ad35bd28a3c441586e3d9e6248e90ec17d50fa80c08c801

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.199821Z digest=sha256:2f62f258bda8f79b47a886e32ceb911441b0008d4cbf2f09ebe1dba1eb28d767

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:fe27396e5ad9553edb371c7b415f9362381a6aec5f39e1d721be9a5ffbe831d6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.382412Z digest=sha256:78347aa09111c0916123a7dc3ea5dd06617129ed1703b2d6cb25c0b04a2f7637

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.498700Z digest=sha256:7799f922d0165a7ede84fea96359e9e82d72ad2edb5d4185e705c999565a3643

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T12:55:31.950743Z digest=sha256:ec8eaef8066474753c13d75b8a4e5528f0bdcc0f9d6d1da1eb1b34bd380dd505

Observation 2a3b619f-5979-481f-8ecf-b4805c048e0e · inbound

Understanding sparse autoencoder scaling in the presence of feature manifolds cites this paper.

Understanding sparse autoencoder scaling in the presence of feature manifolds The Origins of Representation Manifolds in Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T16:41:17.931527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:41:17.931527Z digest=sha256:4a0ebe3b76e404e83ee128735ba90c2f8cbc151c4b86cca1a24620b58f2039a0

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-07-01T00:10:29.122196Z digest=sha256:46a863fc39bcdbfa87b7e163270015ae38d650fc42326a0379eff82b2e74ceda

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-12T02:55:07.317277Z digest=sha256:48f1ebfd3a25775523f98641a763a4bd9341ea3adcf64ccb8b5f203557f563a7

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T03:31:40.195348Z digest=sha256:6c376cca3b4e809ee44479b5ba35c0bccc48fdb092f1383510de6d260af77c8b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-15T05:05:01.099084Z digest=sha256:afbac04b8b70dc347eaee4e0d28efa7a23be8c397a4838fa3c310e43238c0ab3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-20T11:46:34.184997Z digest=sha256:0fb290c8f6433ba5ff1cae0f56a642237e9bd0587a0483cb82ec357be7e55df1

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-22T08:59:01.484220Z digest=sha256:8b892c28f06291b461bae91a69b90ad72d65f00a7f58919bf5ad9713d6c604c9

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T17:06:47.985452Z digest=sha256:d4f3f30dc11f4fbb74ad407aee6cb0a93fe445118ecf881d63aa3e9980c7ce2a

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-25T04:13:43.773920Z digest=sha256:24923effad268fe08d213cf350b108436007bdeb468e52f460b0ef54670503ba

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-29T13:31:46.930585Z digest=sha256:82b81c2402fd8fc32f8f4c490795a8e551b8b848c4b48ebc9a97e8c7c8574082

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-30T22:16:47.743387Z digest=sha256:7e0026143fe70c6e553f67b54706ba4d72ed10d5926750f1bb98a2eb865e55ee

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=sha256:5f82f27e2642a37fa5c484136a6ff72e1e25cc5544fc5c858f1d0a371143f581

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T06:20:42.184829Z digest=sha256:62a3493b0906413d994315cf4169934aae9a4ccb03347f89ff552ffae4c823aa

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T02:07:18.198225Z digest=sha256:11e1e5b9cb12ee552cff208d6f275138e73cfe9682508d220b34b125e31502e8

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-28T03:26:09.556001Z digest=sha256:82a85da24661e0d6c5c5d02fd2cc2271b71e444f8e3919638a5e90af7e27d277

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-25T23:54:29.531368Z digest=sha256:d2ed94f8ed1f82955d2ed575adc9a98e04a1ba402e35a74344fc46a3baed66a2

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-26T01:32:45.450999Z digest=sha256:8019199dc6507cf7bfa62e26052256177a59025767601869e833cad752dadbdf

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-26T01:27:39.812228Z digest=sha256:2eaa78a1cd242b728f22ab7ef5f02d14a5f00330867469ec71a13f4536525788

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-07-03T13:48:58.653341Z digest=sha256:0e7b0636bacd04b21e5ceefef8b00429dfdc4b42909e5d0967e99ab0ea18217b

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=sha256:1864274f70d26f0997e09b96a4cb148d9329e45e700463217815f396a8d36ac3