Pith. sign in

Paper Citation Record · LEDGER

The Origins of Representation Manifolds in Large Language Models

As of 8 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 2026-08-08T06:32:00.761636+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
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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
raw_fallback, observed 2026-08-07T14:43:26.891628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:14.799180Z digest=sha256:d4888baa0e1ae99df00424226b241f914267aeb3b8fc9c309df8e48aedaaec5e

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
unresolved
no resolver link, observed 2026-08-07T14:43:14.866372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:14.866372Z digest=sha256:3d9473893bf8a6c6d75e42d5d4fcb397c17d28da9e4ab73bfba0a16651caf2fb

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
unresolved
no resolver link, observed 2026-08-07T14:43:14.934186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:14.934186Z digest=sha256:89e215650d4b57c5a74bb0f225333a1c4dba1f78971cb680da84b0009c323094

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
raw_fallback, observed 2026-08-07T14:43:26.725830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:15.019015Z digest=sha256:dc70f6f11fbd485d721439034aa795f6b95dc898c180c526b205e4013eee9301

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
raw_fallback, observed 2026-08-07T14:43:26.481931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:15.087758Z digest=sha256:094817b1380810b3fa636bcf154b305e61ce13ea053297a3d3e3de962d10f786

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
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:26.308331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:15.192936Z digest=sha256:673abd8b1ffdcddda6acd58915fd3656b88528f8186a3f937ac38487f97df5ce

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
raw_fallback, observed 2026-08-07T14:43:26.149055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:15.298371Z digest=sha256:c9d515b92c7149af9be77b880b52923c495b97f9a1dd3e6565ef10f28990dd8b

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
unresolved
no resolver link, observed 2026-08-07T14:43:15.410159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:15.410159Z digest=sha256:f1dd1d7d3c1aa9e66857d60929b5e3ed83f52a149f6d67bc6fc93ba15906f0b9

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
raw_fallback, observed 2026-08-07T14:43:25.994907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:15.520636Z digest=sha256:3a080c0744382c534f28d55b9d77dd09ab472909f8f22033c0a79d532f5ef140

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
unresolved
no resolver link, observed 2026-08-07T14:43:15.646768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:15.646768Z digest=sha256:677c8ee527e05e5a9bcef76e1dd479f66adedf6bb4aa701067ee3b7e5c9529c1

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
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:25.848681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:15.735469Z digest=sha256:46ee40e9bf88996e0b4357797a1a8825de28f036fb03b93902a25164fb3e5eb5

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.

source=arxiv_source observed=2026-08-07T14:43:15.806771Z digest=sha256:4261aa533e37d13f46201f6b3202987f35f0b0e49d8bba91925639edbfc6707e

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
raw_fallback, observed 2026-08-07T14:43:25.673337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:15.899826Z digest=sha256:bf9c9b078ca717132faeeb4cad8fabb2eaefa381a194b8b15c1b576ec20bdda3

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
raw_fallback, observed 2026-08-07T14:43:25.519800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:15.984351Z digest=sha256:3bf32a13bbf9bc0c8596144a7e061856082ad7033c4d3d8523e129922d1d12b7

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
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:25.354519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:16.039907Z digest=sha256:fa003e38660d20215d341c0588c66556164bb582df584b0656705510d4ad4b52

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
raw_fallback, observed 2026-08-07T14:43:25.191744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:16.104725Z digest=sha256:f9e0be8d131078be648c906302093ea2690e1c54ba0e2808d0b840776dbc43f7

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
unresolved
no resolver link, observed 2026-08-07T14:43:16.177251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:16.177251Z digest=sha256:c59cc96aca37edf54146d253f24a99d61b2ad4d370a16468217a52cc0e0d70d5

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
verified fuzzy
raw_fallback, observed 2026-08-07T14:43:25.011565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:16.271844Z digest=sha256:dc80c9f223e4aa368246737090b72e98e91e8c95ad5bcd80bb7fc14fd9f3d511

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
raw_fallback, observed 2026-08-07T14:43:24.856589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:16.373179Z digest=sha256:b7691018afe4eadbd1e8a989b298502b77d2271ff5940ed385289ea5724cd87a

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
unresolved
no resolver link, observed 2026-08-07T14:43:16.490932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:16.490932Z digest=sha256:dc65b922d9b8f781883c473c04106b059f1ac23f3bbf573b7f2678263d36c312

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
raw_fallback, observed 2026-08-07T14:43:24.708984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:16.589129Z digest=sha256:254a0ac88e1e6c9e823799bf10940bbe40cdded2ea60b78e61f447182f29570f

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
raw_fallback, observed 2026-08-07T14:43:24.571944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:16.715670Z digest=sha256:fcc76b2a5c0543a92d150fcd9e5829a38702ef2b301fe535d8b76b46dde056fd

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
unresolved
no resolver link, observed 2026-08-07T14:43:16.818106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:16.818106Z digest=sha256:bdae8245215607b8f13ecd5fa08dc528864e016ff6d2d80abc5de1bfd60e2353

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
raw_fallback, observed 2026-08-07T14:43:24.433485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:16.937548Z digest=sha256:589a739529fe103af7e21b750950f277cddc1c2de57f6e3f7d53bac781e781bf

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
raw_fallback, observed 2026-08-07T14:43:24.283179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.071022Z digest=sha256:cfdc457404d18c170b01907cf80df5327e8d022704b939d1b8f360631b853c30

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
unresolved
no resolver link, observed 2026-08-07T14:43:17.156501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:17.156501Z digest=sha256:ad2b088a6a4974235520a98e29e5457af264b17add7dcd689eb85bc6cfabadf3

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
raw_fallback, observed 2026-08-07T14:43:24.144410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.266458Z digest=sha256:566bd5131abca42befbd49d918aeedf1196e167a32de6838011a51a0f439713c

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
raw_fallback, observed 2026-08-07T14:43:24.000693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.374620Z digest=sha256:c9e2975f1a9957d01dde7c7dcb2091f53a274a38b7a6dd0c3f7c057e533e889f

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
raw_fallback, observed 2026-08-07T14:43:23.772069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.472710Z digest=sha256:ecf0496f83d67ae39bdaaf55d7ec99a09f6da9f5bad1579497e0e5643b73d4a9

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
raw_fallback, observed 2026-08-07T14:43:23.608504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.586249Z digest=sha256:2124388968001d63a4c6a385380964fefcaeeec39dbeade167d0aecb786e2940

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.689626Z digest=sha256:37ad6548a5ffe64ab8b4267ac1e9bb1ccb00298038e460fb62007b4cfd8619ec

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.793022Z digest=sha256:a137afe182c1d36aedf789497c9f8fb5653bd14fa4acd81f4fc0e49990a212c8

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:17.920204Z digest=sha256:d69ef29d0a0b1635699bfa628f3df04777f8789ef81cfe7ff9769bc5c444e9b7

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
no resolver link, observed 2026-08-07T14:43:18.021974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:43:18.021974Z digest=sha256:368e6bde2f5ee33d18356e843e5af43d43d45946bb195c1c1e1de7bc3f6b8fca

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.112656Z digest=sha256:0c6c59c4f31d83710d1ce5a2f3f768bdb2e8ebff6daa3ff93f52ef1bb1db9442

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.211672Z digest=sha256:c49e7719ecb5cadb3b233c8ef81d3259972adf26a7903f4aa522d16423aaa416

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=sha256:29c6656e78f40bed3bae5886e1124e5cb76a91393e7b4b8f9c92d789ef80a8df

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.392919Z digest=sha256:219984db10d08bd4857c99c2e304a38360e37ca32b564de5fcae7feea2e23cf5

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=sha256:6e296cdad6caf87ce0b66d4d5ce1d256712179c1040cd4a474eed9110b1c4eb7

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.601745Z digest=sha256:78eb64b8beef3de28dbd4315b2bbaa24625a4ef00f93c771ed53e6e0dc77a119

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.693936Z digest=sha256:7b1b61e9349cb1816e1463c4a13831d187bf6b7130a52af1315786802a2b1fdf

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.783111Z digest=sha256:be813734b545b10f5b4d4696787c872bce1091460e7ba8181d33e3727064130b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.880298Z digest=sha256:be0a67f800d18db87af05ab0a448da849b4de9be995c73c58967e7b58c07a1da

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:18.957270Z digest=sha256:20acdf6ed2a5304479c126ec4727e4e5ae1398eba83c9868c2bdd9d6eb98abb4

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.066296Z digest=sha256:7dc3030ffe047b588e624185219a85482df1aa8b3221956fe78fbe8a1d1f51a2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.199821Z digest=sha256:0545c04dda9c4d13dbcae028f117e1c08b9a56a0ff5c1f791992ee8c3b994bc1

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:e76f44afde61ab91b421d28e403b7461670f25ad176808950d62a9d033e7fa24

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.382412Z digest=sha256:bd90df302561942b14a01f12472ba4a94f6f8c33c8655c8119d0f474d0a53176

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T14:43:19.498700Z digest=sha256:87564ec5941600997ffaf52a524b16ce5c19a8929e0278635b912bc224bbb6ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T12:55:31.950743Z digest=sha256:63125f8bc050baa8fe411b7f75b46c809ab6b3ea3644b94fc861e3ca617d7a46

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-01T00:10:29.122196Z digest=sha256:81aa4f9f04cff6bcac4b364b17d620b7c26c8021a6209dbfb8c150a541882d3b

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-12T02:55:07.317277Z digest=sha256:e205c81ea2ab5226fcf8cfa8dc7276bacfffbdff90e3bc7d9878cd40fb73c652

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T03:31:40.195348Z digest=sha256:c61aec60979c7d75a05a0cbd6c793502491538278260d01ccd8c9ebe432cc379

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T05:05:01.099084Z digest=sha256:ab93379063d356c1ca44218c895d9335f994b18e5b85db1e9b8b89ab2a67f7ac

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T11:46:34.184997Z digest=sha256:c06624bf63d8c6049bbd468ad393221650c5911198be55c6ebd50f1ed63a8423

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T08:59:01.484220Z digest=sha256:f60a1aa62e97d51973420466a481907907fc8174b0921e403e2271300037cd1e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T17:06:47.985452Z digest=sha256:96f70ca38ca21e247c49cf955f8caac67680f0b4f4e5e1fc7c8168166e60b289

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T04:13:43.773920Z digest=sha256:9c2c7e146c27ec0812a27a9e369be7b0d28cff121dfb2fd11bc016b06db3c642

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T13:31:46.930585Z digest=sha256:20bc25611999533d5fac2b6feb11fa8f4e1fb38a669540a289e0d18856cf894a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T22:16:47.743387Z digest=sha256:1e64008fef6e651fad86a4f89d902532189f897446212a0e8c496b1f12dc3461

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=sha256:08334eff4f7b48c533fff3d517903150cfd8a11c3e1f7fc277b77d7e1c96efb6

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T06:20:42.184829Z digest=sha256:61a3417b8fb40c75dd705c6869cd2509d6ef4be24c2c9140bfdaec2b69638bc2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T02:07:18.198225Z digest=sha256:a2e59ee82ed11f342e7c43ebf6bc1f598750e6c0c1fa642dd10247259702a4ef

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T03:26:09.556001Z digest=sha256:92adbbfd551c68d2b403d4402e2aa314b9dce8a683d5eab0a0e5972164ad07a1

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T23:54:29.531368Z digest=sha256:06e3953f5eb241f80f8dd12f7517cd8903964773ee13c45e75adbe2068c90993

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T01:32:45.450999Z digest=sha256:666baddfea4011f9b1ab49683babb0cbbd4b6dd593a6d2d63e2e210f7db51a26

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T01:27:39.812228Z digest=sha256:89bed73f415dd858d1b0fa849da198acc4eddae74f5b7b61a3d8e8ead4c0e9d2

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T13:48:58.653341Z digest=sha256:36dc38fd4dc663c6034229169d3159b89ffe9182c5baaa6fa4200b42de7bcbf8

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=sha256:7d9586b3907668e8cd362f9cb69a0b773abb30a08a3e38ae659205c85fe40030