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Paper Citation Record · LEDGER

Interpretable GOHR Agents via Sparse Autoencoders

As of 16 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 2026-08-16T06:30:59.297886+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

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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no resolver link, observed 2026-07-31T00:31:48.068774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T00:31:48.068774Z digest=sha256:542fb12679faea96fb97e8afd0287898285875c316b4c874710dbb1a81730f34

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:f83877b6dca71525ff5378960eb369e39d015a7a89a94e5816a39b5e43646b85

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:a6f81646f9e5ef739489954dc26a38d773ca5f328a3d86081adadb35366ff26e

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:bd7399888721d15e1c0540eb71daf0c5b9945411aa36ab1e95c51c3fea0e1eec

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=sha256:8dc5933d53249dbef0aafe3066e632db358bd2a0966b3fb1d5502d292e44e510

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:dfae193f4cef08112a5de226effd4f24879ddc9b115f924e6eb3f39a53ea2707

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=sha256:2e38bc4e19487ed8e515f8a02484a1b4cdaff48849a08e749e0b209b25a3cae6

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=sha256:3a3713717ed2f0a56acb518c4fc44aba815f21b708f05aca1314d86cc47fc7ad

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=sha256:19502f132dce90a7ff4864dcc8fc832d3c909c9c94c4fdba339dcbd2301e6440

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=sha256:46ddceb6ac6654b833b76beb0e983d743abaf7c9e965990f4565b6784ffaf2f6

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=sha256:8a94dd414028a28fea7e8c651b38a13e32916375cdf71e14a46f78e2201554eb

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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Unavailable: canonical work link unavailable.

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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:a60e3750e2400d42a671fd4e17195414436c0cb4d80f384a928f42b18783b58f

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:f75712bcfe83bb4687ff60a51533c50d134659ab0eff94e5b4e202e4aa532ea1

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:b12415b4de57f801ce9e9bb5ec7b727fdb86272b02aec79139d5a3c55e630c4d

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:c1ecda57b0564e3a7b7a77b0b295b780713e409bf7e21c59db13b9bf37300ba2

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=sha256:5684fbea31215b69043585f36ce9eab0086320505188c967e38754e7c2b55216

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:ad90252ac27b91c09660920464ccf3cf5b3fa83002ffe0af68d3029a347d4f66

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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no resolver link, observed 2026-07-31T00:31:49.568510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T00:31:49.568510Z digest=sha256:daa62b13d1c9816e6c9f82b644bb94dcdb523f92e1a714ea14e048a772a1fb95

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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source=arxiv_source observed=2026-07-31T00:31:49.630021Z digest=sha256:71cdf1855ae05a55c6a84755ed2d5718fa13d82a241587f232c45ecb4564e47a

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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no resolver link, observed 2026-07-31T00:31:49.718317Z

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source=arxiv_source observed=2026-07-31T00:31:49.718317Z digest=sha256:251653efdcbfbbfd7fbdc69bd4c0e44a479a6c2bc0ef1304954433efc326521d

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

This paper cites Electrical.

Interpretable GOHR Agents via Sparse Autoencoders Electrical

Reference 23

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no resolver link, observed 2026-07-31T00:31:49.789187Z

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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=sha256:3d7a50b6af1a2193e376418e1c87407066e99a2ae817355529e7a3b52f84a4be

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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source=arxiv_source observed=2026-07-31T00:31:50.025038Z digest=sha256:80a8651b98ab391848ec455fa88c35afa3c3a45fe7aa4b3c895a96193f584af0

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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source=arxiv_source observed=2026-07-31T00:31:50.139388Z digest=sha256:6625f8faff865beaae79ed4b6e318afa5bbf97d5a2cbea59de09a71f4f7bf637

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=sha256:6e86e7514744831523ef9731bf9c5809cbc61f8e54fccdda8654a6f600bb68a9

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.