Pith. sign in

Paper Citation Record · LEDGER

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2505.05111.

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

pith.paper-citation-record.v1
2505.05111 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:16:36.625863Z

measured 43 of 43 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:48:09.430124Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:48:13.501763Z

Reference resolution

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 881070df-3b7f-46ee-90d3-36b46eddb450 · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.430341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.430341Z digest=sha256:5eeba522b1b83a54691331dae5c59c809edc735140670b63daa1685360e88be2

Observation db321e26-a032-4994-a3a3-a2ec5c65957c · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.435518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.435518Z digest=sha256:b43b2e66526dbadcbc454b1f49c34404dc7cbac29880d2d72bbb1aeeeeb2766e

Observation 108a400c-5356-4c9b-926d-97cfaf628e01 · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.440774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.440774Z digest=sha256:0e96832f324df42ce9e500a1b244dc8b7eea36e6957a82aa0537edf0a4810518

Observation f788ea2b-73ca-4585-93e7-79fd397a72f6 · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.445524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.445524Z digest=sha256:1eb4e16d14ec033fbd2c80cfbfa5428bb0c825fa25a831e400a4682074540019

Observation 8e2c674f-fe4b-472a-b5f7-c05f353b0403 · outbound

This paper cites No Language Left Behind: Scaling Human-Centered Machine Translation.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.449853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.449853Z digest=sha256:1f159847662cad571e12b7e8b6127feb16347c472b78ad9d0d7038efa98d9683

Observation 5c8bb060-f4cb-4f8c-a6c7-03abc6099b0d · outbound

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

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.454840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.454840Z digest=sha256:ded98de2127c747a0c0e09ce8d48d51e4d5e89046971f4dc85e3c13de50fab3e

Observation 2d7c45b0-9094-40d6-8789-86bfca725a8b · outbound

This paper cites Toy Models of Superposition.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Toy Models of Superposition

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.459845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.459845Z digest=sha256:37f69e478c7b4b877b023ac0cf6aade4a119dde6d937ef3782db8b422cf69ea8

Observation 118ed752-a0d1-458f-a089-5c759e77232d · outbound

This paper cites Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.469084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.469084Z digest=sha256:4742f2dfb542c77acb8930616d711763f81d26c026f83968774c82d7c018d4fc

Observation ba6a98a4-9ec8-4b0b-b531-39b20307c1e7 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Scaling and evaluating sparse autoencoders

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.473266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.473266Z digest=sha256:ed37a39897ea000ad9ceedf88283ffdaa14496790a195f9214a326f31aad8954

Observation b79e63a1-d242-4e3b-8c21-fdfd6fbc0397 · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.478132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.478132Z digest=sha256:97a1cd98871777a5639202a590801735861bd6117e1f3f902be62a88b7694ebf

Observation b316c337-f2b1-42a5-8e38-4753db2d9562 · outbound

This paper cites The Llama 3 Herd of Models.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders The Llama 3 Herd of Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.482536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.482536Z digest=sha256:0a49b0606e19b532453450875ea30f4343d53564d88438f91f7fe0eeec9edb88

Observation 5a411066-9bcc-4bc4-91a5-b376c7b74949 · outbound

This paper cites Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse Autoencoders

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.487379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.487379Z digest=sha256:a35c94b9ae054acbacc6e90ad239793712f9d41c47a10f059bcfada95cdb9d00

Observation f6375a65-87fe-4bf4-86fa-ed9c52bd48ca · outbound

This paper cites Hinton and Richard S.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Hinton and Richard S

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T23:16:37.242451Z

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.

source=arxiv_source observed=2026-08-15T23:16:36.492979Z digest=sha256:06d68836050b2c502af1d230666381279dcb331a18157105a4f99e6456c430b2

Observation 5377a7db-227f-4434-a983-115afc2ddaa3 · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.497786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.497786Z digest=sha256:1e5efc653d965252a017b8355706a208bfc967fc8374fc38f07b1360db95b8b0

Observation f1f37c08-593d-4404-8ed1-2c3d6085f962 · outbound

This paper cites A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders A Survey on Large Language Models with Multilingualism: Recent Advances and New Frontiers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.502021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.502021Z digest=sha256:967dd4859a02a9ff7c72f341a67ae399394a4321142c801db2ac5ca3606f0e31

Observation 2cfbb06f-37e2-4b9f-8ce3-e3aa6fed6e7f · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.506294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.506294Z digest=sha256:ac29f1161f5b080e1711a667c88a2663dd6a8a54c7b8fd19e1e73506ee2012ed

Observation ce8f79cd-4947-40ad-a697-bc66eeef91f5 · outbound

This paper cites Linguistics Theory Meets LLM: Code-Switched Text Generation via Equivalence Constrained Large Language Models.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Linguistics Theory Meets LLM: Code-Switched Text Generation via Equivalence Constrained Large Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.510983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.510983Z digest=sha256:0adab22d8e5535bc23bccb54e441b7f0cd3c393a445f8da2a9e3ecf0f2f76eee

Observation 59a3f63e-8bdc-4513-9f0e-04fa999e61b4 · outbound

This paper cites Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.518654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.518654Z digest=sha256:899d163a4a59744e6bb24308b9953715c144bfffefc721327789be1c7bb8463b

Observation 331b42d5-add0-4b3c-97b6-95c491e6c5b6 · outbound

This paper cites Large Language Model Instruction Following: A Survey of Progresses and Challenges.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Large Language Model Instruction Following: A Survey of Progresses and Challenges

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.523196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.523196Z digest=sha256:9a297eed22aa73263c84ca9b0609f04e6c2b479cf539761c87a37dd5606c3e33

Observation 9b9afb8f-8a1f-4a81-9761-0b0f3d6e5151 · outbound

This paper cites Can sparse autoencoders be used to decompose and interpret steering vectors?.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Can sparse autoencoders be used to decompose and interpret steering vectors?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.527599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.527599Z digest=sha256:3842bedf6de9b755a53ac517e8d0748c6ce5c57870f7d6bed9b935db0181680b

Observation 4c2e0af0-ac04-4b33-82a0-d0ea1b01644b · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:16:37.227803Z

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.

source=arxiv_source observed=2026-08-15T23:16:36.532108Z digest=sha256:16cc06ced63db2dead661ca51bb8cfa54b7f578854306f274a5fe590c6ed1f85

Observation 77afdc4c-500c-41ff-9fa5-b7971f31bd2e · outbound

This paper cites GPT-4 Technical Report.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders GPT-4 Technical Report

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.536316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.536316Z digest=sha256:68399035a88e6b3a37dc5af0dc9c90d50919ad0db0c8dc37a6c6d2e2251370ba

Observation 8d2905f2-de20-4118-b186-ca3ff2c05f12 · outbound

This paper cites Automatically Interpreting Millions of Features in Large Language Models.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Automatically Interpreting Millions of Features in Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.540458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.540458Z digest=sha256:ffa58cd75272ed5a18b1cdde9fc6b54c3f900d46cc1e9895135bb31c22efa087

Observation 6fccd0d4-9021-4c47-933e-7e19c3eb2cff · outbound

This paper cites Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.544786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.544786Z digest=sha256:358bfb7ff714877cdaf15484d36191098e5ee05a50b9dcda942589d0d2466e6f

Observation b619f874-7070-4454-943b-b384a4b7953e · outbound

This paper cites Qwen2.5 Technical Report.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Qwen2.5 Technical Report

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.549084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.549084Z digest=sha256:d32bec152f4c8a5f261cd139ab08f9cd1959fc74d4ed53cd6361bd2a960849a6

Observation a2c2f8a6-12c1-478c-bbe4-56168d243b03 · outbound

This paper cites Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.553656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.553656Z digest=sha256:c08eb220db6d6b7bc651964b449f567af5a6877452cd50cb67c06d27919f4555

Observation 25149610-bc20-4486-81fb-bfb1aa574327 · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.557931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.557931Z digest=sha256:cf247305ada1ac87759c81480d246a7dfda1ea06cf05174900d35da2cdf8d1f9

Observation fb183def-c723-4ab8-8131-e2de048d002c · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.562062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.562062Z digest=sha256:887866401315b6829692a987e59afb7ccd6f3350d6bafeb5d5643f03478cc141

Observation 65d2c8c3-63d4-4bee-83e8-9c00907d6f16 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.566852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.566852Z digest=sha256:57b110613adcfa2ce42809938f500e6503a3dd4108fe86087cb73650df156607

Observation e83ab11a-930d-4f5e-8d69-f61f9dd1b7ed · outbound

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

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Gemma 2: Improving Open Language Models at a Practical Size

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.571373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.571373Z digest=sha256:969263284a07d10f259debceb48151cc3cd3becc9690a0751c62091128d930b9

Observation df381cc0-68d0-4e8e-8d86-d23d1c1f1a7c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.575780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.575780Z digest=sha256:a45074261f8ad2baaabcbb1f8e0f4d3dd90adacb7c89686a9bbc166f3302fc66

Observation 6a3afd15-dadd-42c1-85a6-72bb5073a6eb · outbound

This paper cites Steering Language Models With Activation Engineering.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Steering Language Models With Activation Engineering

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.580158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.580158Z digest=sha256:cd8159cbe397f85dd67187d7e6a8cc5adb8a472e5ce89d4dd73fd827b36f95a3

Observation e69f29a9-0eca-451a-81fe-4a2834aefbca · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.585431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.585431Z digest=sha256:57691c8682a9f051487bb428f920d2ec82233a62c5e10e5892226f475ed72b6c

Observation 1453a223-b072-461d-ae45-7303f8532e3e · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.590099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.590099Z digest=sha256:974febd94aeda80d96421fb4c9085f436b68205c8ce21c81aba81745646bbcaf

Observation c1a51be0-273c-4494-99f0-350157f3c0b7 · outbound

This paper cites Personalized Generation In Large Model Era: A Survey.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Personalized Generation In Large Model Era: A Survey

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.594340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.594340Z digest=sha256:fa50657179fe1ac4f112a1bacddd650339b2e83e5818560710dec63c0725e61c

Observation d9dcafd7-ddb9-4cc7-89a0-8743e8b29eb5 · outbound

This paper cites Qwen2 Technical Report.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Qwen2 Technical Report

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.598702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.598702Z digest=sha256:996a8924a3f8d1523cd068844c1ff4f1d8868ca314c5e1672525d26a89df1bc3

Observation 38d05dd5-9aae-4ced-8f76-d3cbbf626488 · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.603273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.603273Z digest=sha256:7bc0690a7d13e410c4f9e1e41acecaa0cdc265c1f7dc350f84d8572b710b0208

Observation 9482276e-f071-46c0-9932-099976577316 · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.608191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.608191Z digest=sha256:2929d3184d0df50a38f33ccd9cb8e1b707e852ef4c633be3e041ba5a546946db

Observation 46297bfc-c8d8-473a-a373-55970ce8e093 · outbound

This paper cites an unresolved cited work.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-15T23:16:37.213846Z

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.

source=arxiv_source observed=2026-08-15T23:16:36.612663Z digest=sha256:325ef586e45f4deae510cb824c3f151cb4dde79b054022ec2475f37aa49e28d5

Observation d9c678c9-4ea8-4463-a266-470443638f6f · outbound

This paper cites Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.616880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.616880Z digest=sha256:631dbb58b3a583acf999b0281d75a35160a6e88b67a44214e75da7cefd953ae3

Observation 953896fd-13ca-4184-bd1e-01aa0c7be29b · outbound

This paper cites online" 'onlinestring :=.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders online" 'onlinestring :=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.621078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.621078Z digest=sha256:30c1798fecc7384971315a71855b3fcbcd8ae192b928b4288c562949cce1e7da

Observation 7eb1e2b1-ec11-4284-ba65-e73c22511a0c · outbound

This paper cites write newline.

Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders write newline

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T23:16:36.625863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T23:16:36.625863Z digest=sha256:35de332e2b54dada6158250377e51b039a26f4760feb23b620140b0872958856

Pith citing papers

Observation 3bf7327e-de88-451d-92d7-8cd3c4335cbd · inbound

What Language(s) Does Aya-23 Think In? How Multilinguality Affects Internal Language Representations cites this paper.

What Language(s) Does Aya-23 Think In? How Multilinguality Affects Internal Language Representations Unveiling Language-Specific Features in Large Language Models via Sparse Autoencoders

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T13:48:13.582387Z

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.

source=pdf_text observed=2026-08-06T13:48:09.430124Z digest=sha256:86d32a9c58e7e4f64e4545c7dbb1a84c84bcdb9c768d212f5626d4e52822dd51