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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-10T06:31:04.303077+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=sha256:2ca7b2bf11f0702b1b0ede18402d56ff681507214fc2009b0346a9f27dd320b2

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:e1bb3aebae7a93477d056f6525259a4096c9920fae8a6555ede09fefb2228ee7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.193586Z digest=sha256:3536f3014dc84315d7ff7cae4a41fb7b77cd1c6340397d64f51c5f510596dfb6

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:ddb95f1b1cde64bfadbbf262f64d8e2250502235c9c0cac86001bf31bb7b0197

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.294050Z digest=sha256:1b089cd83aa823c529e9f5d17ec04836956809808b06879d8329d3c972cc3ce5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.336459Z digest=sha256:dfd8d5aeb10a311b7fdf10522c15f86faaefbec397d8276f34128045968b6632

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=sha256:94c79ec4feac56558e4b729d5bb25387ce0bd3875e59fdd9bfcf397426223040

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:dbb9d6d5cf20ec19a618985fe2cf9d7fcc4039e0224866853563482f4d0698bb

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=sha256:7108ee121311feb83c8f7bffea050afa1a213c92b058b3a718d73ff629139123

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.487549Z digest=sha256:70ce2460a096193427bee07d74631fb684f6898ffd744045bacf0fd949dbfbf4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.524674Z digest=sha256:bc24368c0c8014c1f63e7fd2be3361187f0a03924be089d635a59568460ed68b

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=sha256:8b2bf9b687692d66ab09b778597481c1143ca113ac07a9acd38c714c3f4b79d7

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=sha256:510215dc80115a0e33d2fb37abbf9fe71431f187f0ddb6d9aeae77b1ec42cd9e

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:f260525f3e8386242894721bba8819d5f1b391da572d19b315945b6215c4f02c

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:c823bac0cbf9f442e4ebd6433e1e40ecf7d35d71b7e1b4204dcdb46bcecd8fca

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=sha256:5f2288140440c4b098a9ba9e41abb989cd1c8b6ed3350b19a364851505eed977

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:58:17.872569Z digest=sha256:93b28109a3c591dc0b9e132f894c5a7262a0868c83ec617f74470a778de280a4

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=sha256:32dca943264a71560e2232f72cf0fd512c324f5446095085cbc673b57ac57e46

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=sha256:7abeebdd0b476902010dc44538492903b570ea523e1e08bc0060efbc7ceb2bdb

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=sha256:0572bc04247c5305f8895bc42d693f4076853af034e2d2e88b38e09ff6a1de59

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:58:18.108525Z digest=sha256:07d0f1012073f3b518c5eadfbabeca1892eb0724685b7fffc2e9e7073de01b24

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:ad5a2ac59b17bde6fe5a88126c7e8b373b7aff0fbf2afa9501a6f84c5deedbff

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

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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=sha256:980669dd96e30f24c3ee774d3ec44a0398980e663a0da037b9658dbe2186915e

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:a17f2d7e37dbd533a492dd4a6e0c8dd87989b263d42b02840eb5f45afb80a04b

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:f4efe5dc26e5eb927414e9801e0197e1801a49d56a2304da57491acb65bbb4c1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:58:18.447882Z digest=sha256:34e2ee9b2fb2ebcd1f59f423bc27e5f110ff6ca16c08cd6002b798a3548573d5

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=sha256:54d6b2a35d4b6c45e73993eb02edcba9d7844c03c1884c6a65d3f236fd30a8d5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:58:18.582419Z digest=sha256:bf4cadd98255bc1b767fc32896021dc0503e010c2aa9cabcde9eb58c843be8d4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T13:58:18.669068Z digest=sha256:95721242fa3928e68c21139c9edbb590351db9fffbaf52ade7b258ebbab23635

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=sha256:3b1ee4174ccab49a4ac92e186e63ded0455fa492c3ff0763f8dbe71e16bc4fa2

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:d22bf7398a396ba9eddd13a1c328cca7e50b1aa610b3586aeb066bf4905c0189

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:b70d9e0f2f970e86f1428be58186ed5e949e1d29db67ed3efb04a5e859d4601c

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=sha256:4f53f4c0c213a2e384de9f25fa2a222898648175b582715098aa9a37166fd2bc

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:dbefc17b0359fc0093017498504e6566ef9d40e50fed937690eea004ee49e9a5

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=sha256:596b40d25de83b6825b336f2e9736f4f53cf9cfc7e34552221ec44c1b2503f5a

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=sha256:6e4ed9c60da554e46a07601acc9b59ea1e41d48e21df1b0be6aff228af8c25f1

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=sha256:7ef78e1d5e745ad9894622605a4217b18a1ec78c05662c9bb9acee4eaf52b40f

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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unresolved
no resolver link, observed 2026-08-07T13:58:19.524125Z

Source-reported events for the cited work

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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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no resolver link, observed 2026-08-07T13:58:19.742041Z

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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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no resolver link, observed 2026-08-07T13:58:19.795151Z

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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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no resolver link, observed 2026-08-07T13:58:19.941509Z

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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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no resolver link, observed 2026-08-07T13:58:19.985179Z

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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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verified exact
local_arxiv, observed 2026-08-07T13:58:20.782483Z

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.

source=arxiv_source observed=2026-08-07T13:58:20.125158Z digest=sha256:c461de4b6c03a00f784290a8008ef31b9a5095613c7e1fca88f95af936750c27

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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no resolver link, observed 2026-08-07T13:58:20.213997Z

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source=arxiv_source observed=2026-08-07T13:58:20.213997Z digest=sha256:ed192a13877e4cfe919c9f58e1f4c45c568f3109a29a9ab692a4d6c9021fc666

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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no resolver link, observed 2026-08-07T13:58:20.267317Z

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source=arxiv_source observed=2026-08-07T13:58:20.267317Z digest=sha256:75f5b9d3310bf230b025d8e8e2ae48aaddb6980119a27eb5c1a51365e7d67709

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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no resolver link, observed 2026-08-07T13:58:20.347882Z

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source=arxiv_source observed=2026-08-07T13:58:20.347882Z digest=sha256:a5e5f5bfdba0b83ba335fed42f237a45b46f551953e3bbb93e79ef3cff3273b1

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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no resolver link, observed 2026-08-07T13:58:20.476708Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T13:58:20.476708Z digest=sha256:9a37cc02edaeda5671d2b1ecc44540f6bb0b88ad05479fb64dd5a73353e0fd39

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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source=arxiv_source observed=2026-08-07T13:58:20.540680Z digest=sha256:20f78601f10e8612454f2373d3a30907d5c48414eba7ed574e8e217f47211c0f

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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no resolver link, observed 2026-08-04T09:26:51.751456Z

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source=arxiv_source observed=2026-08-04T09:26:51.751456Z digest=sha256:b9663cb1269f8275981fdae5f86038bbbf218d492edb17d9bbd03bc4f1c389bf

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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no resolver link, observed 2026-08-01T23:15:29.793522Z

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