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Paper Citation Record · LEDGER

Interpretable GOHR Agents via Sparse Autoencoders

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.25132.

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

pith.paper-citation-record.v1
2607.25132 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T00:31:50.324746Z

measured 29 of 29 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 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

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3533ecfd-4185-4975-9d8a-f282c84522e1 · outbound

This paper cites Distill , year =.

Interpretable GOHR Agents via Sparse Autoencoders Distill , year =

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T00:31:48.068774Z digest=sha256:ac093ce3807f0652f2cc797892f106bea9d8e404eefbe440c4b939c85f221686

Observation 4211bd72-e309-4465-bb99-4d8adc82fffb · outbound

This paper cites 1972 , publisher=.

Interpretable GOHR Agents via Sparse Autoencoders 1972 , publisher=

Reference 2

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source=arxiv_source observed=2026-07-31T00:31:48.123111Z digest=sha256:5bde75cb8a4b3fe81a4dc33067f0fb524e79c73254e281fe3c15c6fd442967fb

Observation 3f6cf6cd-3f05-41f3-95a1-d33fce52865b · outbound

This paper cites an unresolved cited work.

Interpretable GOHR Agents via Sparse Autoencoders Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T00:31:48.228861Z digest=sha256:d518e9d632721f9e059bccfddbd1e247242d4e070b5c9d3891a51424c02cdf62

Observation 558c93c8-61bd-4ec9-815a-902db8c78c1c · outbound

This paper cites Chandra and Dexter C.

Interpretable GOHR Agents via Sparse Autoencoders Chandra and Dexter C

Reference 4

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source=arxiv_source observed=2026-07-31T00:31:48.307615Z digest=sha256:9b4460d1eb5ffebcbe21502b55a086c04e100110a14ccf58f06d5725dae2e34f

Observation 06506644-789c-4e74-a558-6f77f986c730 · outbound

This paper cites Scalable training of.

Interpretable GOHR Agents via Sparse Autoencoders Scalable training of

Reference 5

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source=arxiv_source observed=2026-07-31T00:31:48.364721Z digest=sha256:f37f7035bea348e499d7b6e1e10c6ff63b77d9d9381f1247aa71bb1c4445b30f

Observation a8e4fbc8-e8ad-4c91-8771-80acebd1372e · outbound

This paper cites an unresolved cited work.

Interpretable GOHR Agents via Sparse Autoencoders Unresolved cited work

Reference 6

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T00:31:48.415972Z digest=sha256:69dc98f9ad8022cf8146f47bd81da167734c495bb006bc359c4af9d0694cac98

Observation 8df2cc4c-bbd3-4171-8a5d-3d162d3c46d6 · outbound

This paper cites Tetreault , title =.

Interpretable GOHR Agents via Sparse Autoencoders Tetreault , title =

Reference 7

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source=arxiv_source observed=2026-07-31T00:31:48.471992Z digest=sha256:d9d6846aa80e4a640b3abdee8b5df09f8fcfa08900edd55c1dc1ac0fe1274baf

Observation 4e41488b-b47a-47d0-8800-9f9977ee7a92 · outbound

This paper cites A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =.

Interpretable GOHR Agents via Sparse Autoencoders A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =

Reference 8

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source=arxiv_source observed=2026-07-31T00:31:48.525413Z digest=sha256:b7ff3afa70d2a20a7e42771074df8834ee0bc11c85174c3a18de2e111e3393d5

Observation 97c1a67b-6688-42aa-99cd-7e33b4830cb1 · outbound

This paper cites and Lupyan, Gary and Zhu, Xiaojin , year =.

Interpretable GOHR Agents via Sparse Autoencoders and Lupyan, Gary and Zhu, Xiaojin , year =

Reference 9

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source=arxiv_source observed=2026-07-31T00:31:48.582224Z digest=sha256:0ae5dcbb3cfb0d6b475f51c7c1e689f4b020f9d313c77365e72f29e6eb67a8f2

Observation 4d96016c-a5ba-451b-94b8-20ecd5088d7c · outbound

This paper cites The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine Learning.

Interpretable GOHR Agents via Sparse Autoencoders The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine Learning

Reference 10

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source=arxiv_source observed=2026-07-31T00:31:48.682591Z digest=sha256:b4b401101705b1ccdea6abfa4822e5041461f1c3a495f72a7d6f941314d89adb

Observation 4401faaa-a5b6-4d8a-8951-d50eafb003e0 · outbound

This paper cites and Lupyan, Gary and Zhu, Xiaojin , year =.

Interpretable GOHR Agents via Sparse Autoencoders and Lupyan, Gary and Zhu, Xiaojin , year =

Reference 11

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source=arxiv_source observed=2026-07-31T00:31:48.794537Z digest=sha256:23eb87c76548d19cb08fefdf7f291a2b5d8c130004dd369a56f2bba041372339

Observation f9f52763-cf94-41c4-ba00-2c8a1fb9a04d · outbound

This paper cites IEEE Access , volume=.

Interpretable GOHR Agents via Sparse Autoencoders IEEE Access , volume=

Reference 12

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source=arxiv_source observed=2026-07-31T00:31:48.905353Z digest=sha256:02cdece27b94a3a40c8b055cc3bf126dff057f9a9213ea779374febe2a0aacf6

Observation a8902a57-bbb1-451a-a113-c1c770ad8057 · outbound

This paper cites an unresolved cited work.

Interpretable GOHR Agents via Sparse Autoencoders Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-07-31T00:31:49.007631Z digest=sha256:4f16294307f19a81244dfb603353db2879c975a2c1649fb895c1856304252d98

Observation c97a7274-ca03-4882-82b5-8001ee004cee · outbound

This paper cites Rule Game Server , author =.

Interpretable GOHR Agents via Sparse Autoencoders Rule Game Server , author =

Reference 14

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source=arxiv_source observed=2026-07-31T00:31:49.173846Z digest=sha256:7159dc1fc1df4ffef1331898d0f8c9d7444e3afccbc5c7d9a7b1cc9219417bbd

Observation 1cdccdc6-c51d-4016-981c-5b3e35d2f6b0 · outbound

This paper cites an unresolved cited work.

Interpretable GOHR Agents via Sparse Autoencoders Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-07-31T00:31:49.234148Z digest=sha256:36d2b847f6cb655bef35193f2fa992b2ee2ba237f1e6c62587536de87ecff19a

Observation 1a8074c4-be44-45a5-ab26-7669052530f2 · outbound

This paper cites Setting up the.

Interpretable GOHR Agents via Sparse Autoencoders Setting up the

Reference 16

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source=arxiv_source observed=2026-07-31T00:31:49.342071Z digest=sha256:84982fe49a3309b7357fd735829008dee8e0a3efab3d5fab1f1458e744538505

Observation 36b00244-f444-4766-a075-26e4e05b63f7 · outbound

This paper cites an unresolved cited work.

Interpretable GOHR Agents via Sparse Autoencoders Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-07-31T00:31:49.402690Z digest=sha256:bf6712cf1d44bcd68bcc2c51adb041c9332daa8eca71e90c07463e1d36e1039c

Observation 0686bbf7-2b72-442b-ac50-0211704eb018 · outbound

This paper cites Psychological review , author =.

Interpretable GOHR Agents via Sparse Autoencoders Psychological review , author =

Reference 18

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source=arxiv_source observed=2026-07-31T00:31:49.469544Z digest=sha256:33e09b2583cac9c2cc71778c3788fa2a981b1ac5ee58014b0ff8a6c9439d0111

Observation 48e91aba-cfbc-40e1-8bff-c17ba06999d2 · outbound

This paper cites an unresolved cited work.

Interpretable GOHR Agents via Sparse Autoencoders Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-07-31T00:31:49.568510Z digest=sha256:2ef44b4dce915f415e16d155b20d861543351024f3ee761822bc68c5d8bbf55b

Observation fa6e8b52-9581-4706-8c1a-fc852728b396 · outbound

This paper cites Large language models are not strong abstract reasoners , journal =.

Interpretable GOHR Agents via Sparse Autoencoders Large language models are not strong abstract reasoners , journal =

Reference 20

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Observation ffc1d1bb-0548-4580-a222-f889f709314a · outbound

This paper cites The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain.

Interpretable GOHR Agents via Sparse Autoencoders The ConceptARC Benchmark: Evaluating Understanding and Generalization in the ARC Domain

Reference 21

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Observation 5008d793-d167-494a-b45b-eaacd3d6f79a · outbound

This paper cites , year =.

Interpretable GOHR Agents via Sparse Autoencoders , year =

Reference 22

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Observation 7fe636e7-c3c9-49bb-88d7-046866261d62 · outbound

This paper cites Electrical.

Interpretable GOHR Agents via Sparse Autoencoders Electrical

Reference 23

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Observation 4507ce7f-c3af-4c65-b98c-aa589612c483 · outbound

This paper cites International conference on machine learning , pages=.

Interpretable GOHR Agents via Sparse Autoencoders International conference on machine learning , pages=

Reference 24

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Observation 8721a7fd-d73b-4f56-af0a-db52dc503129 · outbound

This paper cites GPT-4 Technical Report.

Interpretable GOHR Agents via Sparse Autoencoders GPT-4 Technical Report

Reference 25

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source=arxiv_source observed=2026-07-31T00:31:49.910672Z digest=sha256:51655eb53fb2e5dd00106d024ce127ed0d6edc3b3ede685cdd9adf043f6523a6

Observation ad9852c8-62db-4546-bc65-549ca16af430 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Interpretable GOHR Agents via Sparse Autoencoders Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 26

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Observation 6e394217-6a91-438e-80ae-8dd8ac147b0e · outbound

This paper cites The Llama 3 Herd of Models.

Interpretable GOHR Agents via Sparse Autoencoders The Llama 3 Herd of Models

Reference 27

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Observation 9d909309-46bb-4f8b-9179-7a1a10117e0f · outbound

This paper cites arXiv preprint arXiv:2509.06213 , year=.

Interpretable GOHR Agents via Sparse Autoencoders arXiv preprint arXiv:2509.06213 , year=

Reference 28

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source=arxiv_source observed=2026-07-31T00:31:50.251431Z digest=sha256:23383aac1cab6a3cc0bc8fe471cf66a2366ed230294bfe5088c97bd6b16d04cd

Observation 7fb2a80f-fa92-470f-926d-b4692f1a6f1f · outbound

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

Interpretable GOHR Agents via Sparse Autoencoders Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 29

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Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.