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Paper Citation Record · LEDGER

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline

As of 7 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2505.20546.

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

pith.paper-citation-record.v1
2505.20546 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:58:20.540680Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:26:51.751456Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact3
  • verified fuzzy1
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 710857d4-54c4-4c7d-9d29-b31acc15dd3b · outbound

This paper cites online" 'onlinestring :=.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline online" 'onlinestring :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.059347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.059347Z digest=sha256:d7b6d61e329752042f8078e537d7d5531126afb3c294e17b167620054deb1c0c

Observation 364a059b-7510-466c-bc41-1f0cf419e940 · outbound

This paper cites write newline.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.124737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.124737Z digest=sha256:5766a2b11675ae143af31b66f3b579177758e5230cac6a523af7b86e5b46fb5a

Observation 9343f125-9196-452e-9a53-b5736847cac8 · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:22.537187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.193586Z digest=sha256:c8b4d6521f84e3cf11bfed07c3608722463d4ede1c4d42e128292224198782ec

Observation 6c610d19-6037-4995-901a-dea96bd89e8e · outbound

This paper cites Refusal in Language Models Is Mediated by a Single Direction.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Refusal in Language Models Is Mediated by a Single Direction

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.238560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.238560Z digest=sha256:7c0f8639a24378d89fe3b9b26aa28cf2ac36fbc6848ed40043cea5064189be00

Observation 8bf83778-9110-468c-9b38-0265c79e46b4 · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:22.416765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.294050Z digest=sha256:267cf0d7ff06a90139d1acd0957d73698e732c9142194c99c663442243da637a

Observation dcd11c05-632e-46cb-8e78-17ec186ae77e · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:22.269316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.336459Z digest=sha256:6a94302c0c1f998d9d1f06745fda924d0c1a086f1fab14aaffaec5b10a9c0e2d

Observation 66476951-a99e-4342-ad0e-b2873a56a418 · outbound

This paper cites Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Summing Up the Facts: Additive Mechanisms Behind Factual Recall in LLMs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.366968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.366968Z digest=sha256:e860db3a76fccef8fa1412abda2e62367e975ff7daa223937252739bfa4e3b76

Observation a8b6ad66-ace2-4cf0-b28b-c53064f63add · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.413971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.413971Z digest=sha256:db858f74e7575ca6eb0cde3e008baffdc7136007204823703a9c86eb6300047a

Observation bf7d1c41-f967-4b1c-be6a-45c66d173fdd · outbound

This paper cites Multilingual Jailbreak Challenges in Large Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Multilingual Jailbreak Challenges in Large Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.453084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.453084Z digest=sha256:674aada2ad3973d70f32a6b9da7f43cd26efcd7b7284b885a6400fc19e2b1583

Observation 1997aab3-480e-4929-8bf2-d2a920d3304a · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:22.154118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.487549Z digest=sha256:ab0d7607108efa67fd046857f932cfdd15271bb43479cac10410ac8f18f5762a

Observation 2e3e576c-d4ee-4dd9-be60-70bfc531a032 · outbound

This paper cites On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline On the Similarity of Circuits across Languages: a Case Study on the Subject-verb Agreement Task

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:58:21.317714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.524674Z digest=sha256:4bfc44ab3fc9ea46632d2729e1b49fa88c8e98a1d49b74feebc4f8886e323168

Observation 4b94f47f-ee5b-41c6-a945-339b42e598e5 · outbound

This paper cites How Do Multilingual Language Models Remember Facts?.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline How Do Multilingual Language Models Remember Facts?

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.577752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.577752Z digest=sha256:d77b6af35d6e6b20854e91b8f185ebf594ceb95c6d8c27a968e059bb703d16de

Observation 9077f77f-c680-49bc-9e3e-da69f5f3c7d1 · outbound

This paper cites Dissecting Recall of Factual Associations in Auto-Regressive Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Dissecting Recall of Factual Associations in Auto-Regressive Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.670624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.670624Z digest=sha256:648d0cb029b98db2a1e26a970ab4d2214f96daa9be2770907de27dd00b7e43b1

Observation dc296c7a-18f5-4ee5-9288-ea75b4a78a49 · outbound

This paper cites Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.735491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.735491Z digest=sha256:7f122fe63c21bd385933869670d8f923ea02d9ce1c8dc17da4fdd5d9896de685

Observation 09811a31-6ecc-4c2f-b00f-0cb0eb257421 · outbound

This paper cites The Llama 3 Herd of Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline The Llama 3 Herd of Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.787836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.787836Z digest=sha256:454f15ce374aaf3c6b0816c0a75fb55f97a1fce5e45e08cb6b323106ef177e5a

Observation 362b2aa4-dbb3-4c37-a61c-e3c8ff3dbc3c · outbound

This paper cites Finding Neurons in a Haystack: Case Studies with Sparse Probing.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Finding Neurons in a Haystack: Case Studies with Sparse Probing

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.838066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.838066Z digest=sha256:69daae42ff0783c98f856df03f4080e1c38df4aeb2362ea468c2e167622d5983

Observation 9da262c6-3509-4849-a594-81395f803842 · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:21.919890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.872569Z digest=sha256:930946a5c5a444001498a03f185bbdcc2f34eb4e02ce7cb29802b2b6e75ba9c4

Observation 311759b9-f0d1-4bca-be6b-7972e479a276 · outbound

This paper cites In-Context Learning Creates Task Vectors.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline In-Context Learning Creates Task Vectors

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.900572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.900572Z digest=sha256:88484ab5ee2264376d82015f93482783f9f9dfe2aef4e94ffc260ffa38e7f1c3

Observation 9c905f9d-8f42-4e36-a72c-8b23c9c1066e · outbound

This paper cites Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:17.950053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:17.950053Z digest=sha256:1e08496625a7457850104b9368334635abb6fca54ef6f5dabf8ac91e159431eb

Observation 28a312af-5234-42fc-bb2c-722d1adfe2e4 · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:18.019352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:18.019352Z digest=sha256:22b5554002b392da630b65441f60593b83c73bb942d6ec4aae97611f2f77b611

Observation 1b036fd2-2919-41c4-8ff6-0c0f89b22124 · outbound

This paper cites Selected Languages are All You Need for Cross-lingual Truthfulness Transfer.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Selected Languages are All You Need for Cross-lingual Truthfulness Transfer

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:58:21.074229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:58:18.108525Z digest=sha256:f56eb1fc5eab8c6ce8e5a31ba4b92ac114487f12aca66b75d411f253334e2bcd

Observation 2cca6c4b-3964-4c6c-9b43-a48a3d77405f · outbound

This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

Reference 22

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no resolver link, observed 2026-08-07T13:58:18.186141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:18.186141Z digest=sha256:2425e5ee6f20cdfadd2861be49b4d2579f4bb84e8f085a7d15e788ad0562e8fb

Observation b792e889-a098-4b91-abec-32acc16fc727 · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:18.267516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:18.267516Z digest=sha256:94134608d764d3ddfe478688941f64d56b073d2513b597c975f4a35e81b83b19

Observation a16b5ac4-da26-403c-aae3-7f3d167470af · outbound

This paper cites Language Models Implement Simple Word2Vec-style Vector Arithmetic.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Language Models Implement Simple Word2Vec-style Vector Arithmetic

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:18.286926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:18.286926Z digest=sha256:672802083522eb3b247fd5197df03356587a696cef9aae734dc0e5153197f93b

Observation 95ed4f4e-8328-4a17-a302-075f4d8e95bd · outbound

This paper cites Circuit Component Reuse Across Tasks in Transformer Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:18.368602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:18.368602Z digest=sha256:4698a33b34fae926ed071d65e1ffc7415da8e41fa2bb41a7e13d5f3dbb3fc61d

Observation e787b3c3-d781-42cd-8a33-505e840dcc17 · outbound

This paper cites Miller and the Princeton WordNet Group.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Miller and the Princeton WordNet Group

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:58:21.772980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:58:18.447882Z digest=sha256:c5ab3f91f3746c4175ccda925d66fad53fc9ad9ab03f80efc3a6a85a26c086c2

Observation de5a1676-575f-4ce8-a2fc-6a6d94e1bed1 · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 27

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unresolved
no resolver link, observed 2026-08-07T13:58:18.492792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:18.492792Z digest=sha256:3e3278aeb40b2a14be13a157b83df60c50d964a2e237e349b4514cacc0ffea1b

Observation 408e51a2-8beb-4b4a-a141-a9191fa7d96f · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:21.600820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:58:18.582419Z digest=sha256:9a9c7f28058d5498cec4fcf8529b9197575d98b501b96997bf6eaf5255bea132

Observation f97db318-9109-455b-b7a0-65cde5865835 · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:21.470895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T13:58:18.669068Z digest=sha256:024c20fd64fb3957e9c045013e25ecaf33f31f21649ff6e0faca1af7fc67916f

Observation ea5bc2e0-0c21-4c86-94b3-c7ec30bad7b2 · outbound

This paper cites In-context Learning and Induction Heads.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline In-context Learning and Induction Heads

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:18.780117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:18.780117Z digest=sha256:8be10ee1556cbd0cc84a66a3954b502d219cd9f596ad25c1b5e1b936b46b06a0

Observation 2d3df3cf-5f7e-4e3e-a86c-a0985c7e1e93 · outbound

This paper cites Steering Llama 2 via Contrastive Activation Addition.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Steering Llama 2 via Contrastive Activation Addition

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:18.851071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:18.851071Z digest=sha256:cbaae8e3933c4b0672a253ff614f5fd12001b7e1eaa0a9dc9eb275ab33c41a6e

Observation 9bc8d8c4-ec33-40a9-9567-df5de314a5a1 · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:18.954756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:18.954756Z digest=sha256:0aa3247aa5f3ed302b44ba9e534a2893eb2c200c1aa648e5d9e53b196648506c

Observation 1c4aa35e-10fc-439b-9b03-376fafafeb3c · outbound

This paper cites Do Multilingual LLMs Think In English?.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Do Multilingual LLMs Think In English?

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:19.134805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:19.134805Z digest=sha256:cebae7837408997b664a21f3229d9610754798004d09b69a1c00d86af6fbdd32

Observation 7c82bd4f-6051-442b-966f-5dd1bdf51748 · outbound

This paper cites Language Models are Multilingual Chain-of-Thought Reasoners.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Language Models are Multilingual Chain-of-Thought Reasoners

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:19.207551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:19.207551Z digest=sha256:4ea9ce7525d1f9bded87e2d12af4fac08eed34056ff6dbec6f268ff39217d711

Observation 0100cbef-7a06-47e4-89b3-3d0795c68bab · outbound

This paper cites Where does In-context Translation Happen in Large Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Where does In-context Translation Happen in Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:19.317522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:19.317522Z digest=sha256:754a8678acb1416a8ab6be6d2f45b7c151bc61316738ba763824bb16e30642a1

Observation 774b271f-373e-430d-aa04-f20f3caf04e2 · outbound

This paper cites Extracting Latent Steering Vectors from Pretrained Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Extracting Latent Steering Vectors from Pretrained Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:19.396698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:19.396698Z digest=sha256:bfa0fe5134871dac1b08672b86cc4177f0b528fbd755e0bedd7e3e3529abc0cb

Observation 83f43acb-8934-4d28-a27e-4777d4a4199c · outbound

This paper cites Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:19.449696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:58:19.449696Z digest=sha256:e9da9ba8dad3729689c4f1b874f1d89c4aa136aeb4d6fb48cebc679282ee5629

Observation da0f1e65-0d0e-4c5d-af30-677e1dc85e3e · outbound

This paper cites Linear Representations of Sentiment in Large Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Linear Representations of Sentiment in Large Language Models

Reference 38

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Observation ea55c297-7e2f-4181-a079-3c0a3fd84ef1 · outbound

This paper cites Function Vectors in Large Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Function Vectors in Large Language Models

Reference 39

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Observation a0fbb845-253d-4c6c-8ce6-d74c97d457ca · outbound

This paper cites Steering Language Models With Activation Engineering.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Steering Language Models With Activation Engineering

Reference 40

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Observation 9fa927f2-4ab7-4b97-be13-4331695ec55b · outbound

This paper cites an unresolved cited work.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Unresolved cited work

Reference 41

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Observation 431292a0-b863-402b-968d-928b17e22548 · outbound

This paper cites Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models

Reference 42

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Observation b6c06667-938c-4c11-8537-408b21d3cae2 · outbound

This paper cites Do Llamas Work in English? On the Latent Language of Multilingual Transformers.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Do Llamas Work in English? On the Latent Language of Multilingual Transformers

Reference 43

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Observation 45741328-e560-44ab-9992-f146fbd3903b · outbound

This paper cites High-Dimensional Interlingual Representations of Large Language Models.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline High-Dimensional Interlingual Representations of Large Language Models

Reference 44

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Observation 9d92f608-738b-4b1e-aadc-7324d7bfb0de · outbound

This paper cites The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline The Semantic Hub Hypothesis: Language Models Share Semantic Representations Across Languages and Modalities

Reference 45

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Observation 205f2606-6fb5-4f8a-b296-a84e9ebbc4d0 · outbound

This paper cites Knowledge Circuits in Pretrained Transformers.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Knowledge Circuits in Pretrained Transformers

Reference 46

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Observation cd2759c2-ef6a-4d2e-82df-7b5953be472a · outbound

This paper cites Low-Resource Languages Jailbreak GPT-4.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline Low-Resource Languages Jailbreak GPT-4

Reference 47

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Observation 7f6e5e14-34d6-437f-8467-46d783256e2c · outbound

This paper cites The Same But Different: Structural Similarities and Differences in Multilingual Language Modeling.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline The Same But Different: Structural Similarities and Differences in Multilingual Language Modeling

Reference 48

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Observation 5adac799-56fa-44e0-97cc-75d3144bf90f · outbound

This paper cites How do Large Language Models Handle Multilingualism?.

Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline How do Large Language Models Handle Multilingualism?

Reference 49

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Pith citing papers

Observation 64ad3754-4ba7-4a5c-90d3-fc6db4a85775 · inbound

Rethinking Cross-lingual Gaps from a Statistical Viewpoint cites this paper.

Rethinking Cross-lingual Gaps from a Statistical Viewpoint Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline

Reference 32

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Observation 4803bfc8-db03-451f-8264-139ced161687 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Paths Not Taken: Understanding and Mending the Multilingual Factual Recall Pipeline

Reference 112

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