Paper Citation Record · LEDGER

Sparsification and Reconstruction from the Perspective of Representation Geometry

As of 17 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2505.22506.

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

pith.paper-citation-record.v1
2505.22506 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:11:40.473262Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

verified exact1
verified fuzzy20
unresolved26
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2f85038-48b3-4789-9cad-ea89136df48a · outbound

This paper cites Open Problems in Mechanistic Interpretability.

Sparsification and Reconstruction from the Perspective of Representation Geometry Open Problems in Mechanistic Interpretability

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:09.340402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7dae0578-66a7-4a69-83d6-25c21cc00e58 · outbound

This paper cites Mechanistic Interpretability for AI Safety -- A Review.

Sparsification and Reconstruction from the Perspective of Representation Geometry Mechanistic Interpretability for AI Safety -- A Review

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:09.473310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ac2969-93b1-47db-b6e7-3bf3678d8448 · outbound

This paper cites Towards automated circuit discovery for mechanistic interpretability,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Towards automated circuit discovery for mechanistic interpretability,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:09.556664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ced0bc-9c07-4cae-85fc-a3ea2ee6d445 · outbound

This paper cites Toy Models of Superposition.

Sparsification and Reconstruction from the Perspective of Representation Geometry Toy Models of Superposition

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:09.639122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac8a01a9-53f1-4e8d-87c8-b553f563900b · outbound

This paper cites Towards monosemanticity: Decomposing language models with dictionary learning,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Towards monosemanticity: Decomposing language models with dictionary learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:45.491200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 74b492ac-40e0-47d4-ae3a-8587d259fbc1 · outbound

This paper cites The Linear Representation Hypothesis and the Geometry of Large Language Models.

Sparsification and Reconstruction from the Perspective of Representation Geometry The Linear Representation Hypothesis and the Geometry of Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:09.836616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76d27bd2-2b2d-4a63-a415-27a9c163fe5c · outbound

This paper cites On the Origins of Linear Representations in Large Language Models.

Sparsification and Reconstruction from the Perspective of Representation Geometry On the Origins of Linear Representations in Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:09.962482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3506ef1b-8f23-4d0d-a5c3-758ddf888829 · outbound

This paper cites Feature manifold toy model,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Feature manifold toy model,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:45.354257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b3f89a17-2f54-4b91-b149-3593b7a074d4 · outbound

This paper cites Not All Language Model Features Are One-Dimensionally Linear.

Sparsification and Reconstruction from the Perspective of Representation Geometry Not All Language Model Features Are One-Dimensionally Linear

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:10.172162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c787a2d9-6011-42ff-ba99-5f75b7dbde95 · outbound

This paper cites Latent Space Characterization of Autoencoder Variants.

Sparsification and Reconstruction from the Perspective of Representation Geometry Latent Space Characterization of Autoencoder Variants

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:10.254690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d06c810a-49e8-45d3-896c-12eb645f61ac · outbound

This paper cites Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering.

Sparsification and Reconstruction from the Perspective of Representation Geometry Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:10.348732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation efd36319-e7ef-429f-a342-580829d6bd37 · outbound

This paper cites Interpreting Attention Layer Outputs with Sparse Autoencoders.

Sparsification and Reconstruction from the Perspective of Representation Geometry Interpreting Attention Layer Outputs with Sparse Autoencoders

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:10.460312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adaf7e9d-bd00-4910-aee2-5d9d9bfdff4b · outbound

This paper cites Language models are unsupervised multitask learners,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Language models are unsupervised multitask learners,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:10.581727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8632adb9-6c75-4a4f-8345-3d60f5060d84 · outbound

This paper cites Pythia: A suite for analyzing large language models across training and scaling,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Pythia: A suite for analyzing large language models across training and scaling,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:10.705128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b79504d4-9e49-47a5-8c4d-a7397c164c65 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Sparsification and Reconstruction from the Perspective of Representation Geometry Gemma 2: Improving Open Language Models at a Practical Size

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:10.811733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0063508-be3a-4cf5-8339-d3d01ad6715b · outbound

This paper cites Saelens,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Saelens,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:45.176779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bc83f33f-b26c-4f08-b338-1d447135515f · outbound

This paper cites Geometry-Preserving Encoder/Decoder in Latent Generative Models.

Sparsification and Reconstruction from the Perspective of Representation Geometry Geometry-Preserving Encoder/Decoder in Latent Generative Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:11.132649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eae553db-3ad9-4dca-8723-445127e17ccf · outbound

This paper cites Gromov-Wasserstein autoencoders,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Gromov-Wasserstein autoencoders,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:44.978891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 028d7c1d-8fcd-464a-b68d-918cd6caa6a4 · outbound

This paper cites Improving Dictionary Learning with Gated Sparse Autoencoders.

Sparsification and Reconstruction from the Perspective of Representation Geometry Improving Dictionary Learning with Gated Sparse Autoencoders

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:11.364254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b36f4f1b-36a9-47c3-a7c3-b40aaf7446b2 · outbound

This paper cites Prolu: A nonlinearity for sparse autoencoders,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Prolu: A nonlinearity for sparse autoencoders,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:44.822567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c821c2f1-f561-42bd-9b9d-10148a12a06e · outbound

This paper cites JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks.

Sparsification and Reconstruction from the Perspective of Representation Geometry JumpReLU: A Retrofit Defense Strategy for Adversarial Attacks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:37.810880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50f392a6-1331-4668-b790-836ee4e1ae44 · outbound

This paper cites BatchTopK Sparse Autoencoders.

Sparsification and Reconstruction from the Perspective of Representation Geometry BatchTopK Sparse Autoencoders

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:37.858200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 776f3d7f-9f2a-496d-b447-daade0a074e4 · outbound

This paper cites Adaptive Sparse Allocation with Mutual Choice & Feature Choice Sparse Autoencoders.

Sparsification and Reconstruction from the Perspective of Representation Geometry Adaptive Sparse Allocation with Mutual Choice & Feature Choice Sparse Autoencoders

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:38.016121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34e39b35-705a-4e5a-b26d-dc0ddcbfbfb7 · outbound

This paper cites Efficient training of sparse autoencoders for large language models via layer groups,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Efficient training of sparse autoencoders for large language models via layer groups,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:38.127218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cacb0be-1ba7-4eeb-91ed-83c7e13cbd30 · outbound

This paper cites Orthogonal neural representations support perceptual judgments of natural stimuli,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Orthogonal neural representations support perceptual judgments of natural stimuli,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:44.613644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 133b2240-07fc-49d9-b0da-d90583bd2b0e · outbound

This paper cites How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings.

Sparsification and Reconstruction from the Perspective of Representation Geometry How Contextual are Contextualized Word Representations? Comparing the Geometry of BERT, ELMo, and GPT-2 Embeddings

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:38.330554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f2bf4d8-1cad-4c96-a0be-87a6ff4c2ba6 · outbound

This paper cites The Geometry of Multilingual Language Model Representations.

Sparsification and Reconstruction from the Perspective of Representation Geometry The Geometry of Multilingual Language Model Representations

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:38.395853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 532c25da-386b-4954-8a68-c408d77ba38c · outbound

This paper cites Transformers represent belief state geometry in their residual stream,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Transformers represent belief state geometry in their residual stream,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:44.433000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f8b66d2d-829b-40d4-972f-5710a5b59856 · outbound

This paper cites The Geometry of Concepts: Sparse Autoencoder Feature Structure.

Sparsification and Reconstruction from the Perspective of Representation Geometry The Geometry of Concepts: Sparse Autoencoder Feature Structure

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:38.527027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 265ebe3f-1167-479f-b87c-0a0154ff3962 · outbound

This paper cites Representation learning: A review and new perspectives,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Representation learning: A review and new perspectives,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:38.661073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05415a07-9e36-42c0-b6cb-23b40fc3e038 · outbound

This paper cites beta-vae: Learning basic visual concepts with a constrained variational framework,.

Sparsification and Reconstruction from the Perspective of Representation Geometry beta-vae: Learning basic visual concepts with a constrained variational framework,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:38.779539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b669ba6-1dd6-4df7-931e-bbb093cd5bd8 · outbound

This paper cites Online dictionary learning for sparse coding,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Online dictionary learning for sparse coding,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:44.230102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6485adf9-3021-484c-a404-927e4d6e0c98 · outbound

This paper cites Disentangled representation learning,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Disentangled representation learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:44.029486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2c31b373-8fa6-4cff-8baf-fcd9ab950189 · outbound

This paper cites Multi-vae: Learning disentangled view-common and view-peculiar visual representations for multi-view clustering,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Multi-vae: Learning disentangled view-common and view-peculiar visual representations for multi-view clustering,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:43.842181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 26e858cb-f920-4db8-ba4d-ca6560e909e1 · outbound

This paper cites Disentangling disentanglement in variational autoencoders,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Disentangling disentanglement in variational autoencoders,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:43.636003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 02b69ed6-cdcb-4457-ab90-9abfb09c026d · outbound

This paper cites Guided variational autoencoder for disentanglement learning,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Guided variational autoencoder for disentanglement learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:43.453114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 27bafa8e-5618-4351-8c3a-959f34316f0d · outbound

This paper cites Oogan: Disentangling gan with one-hot sampling and orthogonal regularization,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Oogan: Disentangling gan with one-hot sampling and orthogonal regularization,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:43.214794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation edea661e-ebe4-4b3d-9aa0-db19ffc149ea · outbound

This paper cites Disentanglement in a gan for unconditional speech synthesis,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Disentanglement in a gan for unconditional speech synthesis,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:42.945860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 516f40f4-bb46-4afd-b950-0222ff780f35 · outbound

This paper cites Diagonal attention and style-based gan for content-style disentanglement in image generation and translation,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Diagonal attention and style-based gan for content-style disentanglement in image generation and translation,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:42.644557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b8af7ad5-5752-43f0-80b2-e250a30e059d · outbound

This paper cites Efficient Dictionary Learning with Switch Sparse Autoencoders.

Sparsification and Reconstruction from the Perspective of Representation Geometry Efficient Dictionary Learning with Switch Sparse Autoencoders

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:39.663720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09fca0d3-dca8-4891-96d6-9b1488c71792 · outbound

This paper cites Towards Achieving Concept Completeness for Textual Concept Bottleneck Models.

Sparsification and Reconstruction from the Perspective of Representation Geometry Towards Achieving Concept Completeness for Textual Concept Bottleneck Models

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:11:40.775989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 31407280-9ce3-4666-bc25-bd31f906c793 · outbound

This paper cites Measuring progress in dictionary learning for language model interpretability with board game models,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Measuring progress in dictionary learning for language model interpretability with board game models,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:42.447094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d18aace0-064c-4829-ab80-451c2e39bd78 · outbound

This paper cites Superposition Yields Robust Neural Scaling.

Sparsification and Reconstruction from the Perspective of Representation Geometry Superposition Yields Robust Neural Scaling

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T13:11:39.974971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5128492-c3e1-4dc1-8b1c-03e174697e46 · outbound

This paper cites Estimating local intrinsic dimensionality,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Estimating local intrinsic dimensionality,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:42.126926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e7406a22-262c-4d59-b1a5-1b7fd8239eeb · outbound

This paper cites Geometrically bounding 3–manifolds, volume and betti numbers,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Geometrically bounding 3–manifolds, volume and betti numbers,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:41.738923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 316eecc1-b888-4b2c-8743-0659a1d47546 · outbound

This paper cites Fast parallel algorithms for euclidean minimum spanning tree and hierarchical spatial clustering,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Fast parallel algorithms for euclidean minimum spanning tree and hierarchical spatial clustering,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:41.565322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 928e618b-203e-403f-95ac-bcfa5559616c · outbound

This paper cites Applications of average geodesic distance in manifold learning,.

Sparsification and Reconstruction from the Perspective of Representation Geometry Applications of average geodesic distance in manifold learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:11:41.329955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation ad58d652-5385-49e9-aee3-ac4e087f0e4e · outbound

This paper cites A survey on sparse autoencoders: Interpreting the internal mechanisms of large language models,.

Sparsification and Reconstruction from the Perspective of Representation Geometry A survey on sparse autoencoders: Interpreting the internal mechanisms of large language models,

Reference 49

Resolution: malformed identifier; no resolver link, observed 2026-08-07T13:11:40.473262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.