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Paper Citation Record · LEDGER

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.08499.

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

pith.paper-citation-record.v1
2607.08499 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-10T06:28:18.984455Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

22 of 22 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 134657ae-23f3-480a-9b50-f818d5d9bb35 · outbound

This paper cites arXiv preprint arXiv:2503.05613 , year=.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders arXiv preprint arXiv:2503.05613 , year=

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d1370b7c-1b3e-4cf8-b09d-e0300b4daa37 · outbound

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

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 2

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local_arxiv, observed 2026-07-10T06:36:52.598791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b6764115-dc8a-40ec-a88f-51d92cedfe1d · outbound

This paper cites Transformer Circuits Thread 2(5), 6 (2023).

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Transformer Circuits Thread 2(5), 6 (2023)

Reference 3

Resolution
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Observation 637dce47-36ea-49e9-9e25-92981e776bc7 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Scaling and evaluating sparse autoencoders

Reference 4

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local_arxiv, observed 2026-07-10T06:36:52.593815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7e9afdc7-cdaa-419e-a06e-3d181bbad5c6 · outbound

This paper cites Improving Dictionary Learning with Gated Sparse Autoencoders.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Improving Dictionary Learning with Gated Sparse Autoencoders

Reference 5

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local_arxiv, observed 2026-07-10T06:36:52.596388Z

Source-reported events for the cited work

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Observation e5a612b5-291b-4af2-89b7-862232128622 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 6

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Source-reported events for the cited work

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Observation ff4da7d6-f073-43e0-8daf-3cafab321228 · outbound

This paper cites Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

Reference 7

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local_arxiv, observed 2026-07-10T06:36:52.581604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5ee12ee0-3bc1-4963-9080-6c6577d84853 · outbound

This paper cites Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders

Reference 8

Resolution
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local_arxiv, observed 2026-07-10T06:36:52.591273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a64771f1-30a2-4553-b6c3-bac715b4ac69 · outbound

This paper cites an unresolved cited work.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Unresolved cited work

Reference 9

Resolution
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Source-reported events for the cited work

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Observation 798bb256-fa7f-438d-ab50-cffba23a702a · outbound

This paper cites In: Forty-second International Conference on Machine Learning (2025).

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders In: Forty-second International Conference on Machine Learning (2025)

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 877843f8-6965-4112-9bbd-4b7427f9e801 · outbound

This paper cites InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders InstaSHAP: Interpretable Additive Models Explain Shapley Values Instantly

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9d5c8ba9-c46c-44f7-a738-aa937b7a4b50 · outbound

This paper cites Transformer Circuits Thread, 3982–3992 (2024).

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Transformer Circuits Thread, 3982–3992 (2024)

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 3bb0ae3f-efc8-4976-b230-e6e9cdeb609a · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders In: Proceedings of the AAAI Conference on Artificial Intelligence, vol

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 75d6f427-ff52-4758-b9d3-d60d6fc3d1a2 · outbound

This paper cites Advances in Neural Information Processing Systems34, 5656–5668 (2021).

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Advances in Neural Information Processing Systems34, 5656–5668 (2021)

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b109eda4-7483-478f-ad92-50a259a0f691 · outbound

This paper cites an unresolved cited work.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Unresolved cited work

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f97aed2e-3357-459f-a275-38af6f21e190 · outbound

This paper cites Atlas-Alignment: Making Interpretability Transferable Across Language Models.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Atlas-Alignment: Making Interpretability Transferable Across Language Models

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 27cdae26-ca28-49d5-895c-cb17f54ce7d0 · outbound

This paper cites In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders In: Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pp

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 09dbbe82-f934-4916-ba15-9e5767907277 · outbound

This paper cites In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e68bd4b7-7687-4fa9-8d26-f333df0412ec · outbound

This paper cites In: Proceedings of the 12th International Workshop on Semantic Evaluation, pp.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders In: Proceedings of the 12th International Workshop on Semantic Evaluation, pp

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 88d741c5-a6a8-40b1-b133-6c2ca233f1ec · outbound

This paper cites Discovering Latent Concepts Learned in BERT.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Discovering Latent Concepts Learned in BERT

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f494ce0d-7db1-43ac-9a28-4219d53125d6 · outbound

This paper cites Harris, K.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Harris, K

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ec66f5f8-c9d6-4e88-a423-75dc912521c6 · outbound

This paper cites an unresolved cited work.

Cross-seed explainability using Procrustes-conditioned Joint End-to-end Top-K Sparse Autoencoders Unresolved cited work

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Pith citing papers

No inbound Pith citation observations are available.