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Paper Citation Record · LEDGER

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2509.23381.

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

pith.paper-citation-record.v1
2509.23381 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T14:50:31.100765Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

47 of 47 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 202bb892-4046-4c0b-908d-5be0c01b09b9 · outbound

This paper cites Llm-jp toxicity dataset v2.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Llm-jp toxicity dataset v2

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:30.938465Z digest=sha256:f60a066efa13f02036d6176675ef5842df8d3398be2161b6ca663ebd026fb92d

Observation 353c4e7b-4480-4596-8a00-3e4554d4d61d · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Constitutional AI: Harmlessness from AI Feedback

Reference 2

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source=arxiv_source observed=2026-08-04T14:50:30.942099Z digest=sha256:1e58fce945fec95b15a8869659ab8c0352f86731dfb7b9af4b5575038a83e6b3

Observation f45b1755-3e9d-445a-98b7-49a0a2569c51 · outbound

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

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT No Language Left Behind: Scaling Human-Centered Machine Translation

Reference 3

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source=arxiv_source observed=2026-08-04T14:50:30.946190Z digest=sha256:b3c5632fa15fed5277dea863a72d8b72c2fbea04c29c7bff90f9ac90b69ab83e

Observation 014a138d-d8ed-4994-9d13-bf7bdb5a943e · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 4

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source=arxiv_source observed=2026-08-04T14:50:30.949543Z digest=sha256:d31b9086b12074c5851b096e2ec052c29d8c2e5af4478e6200b6db0cddbceb5a

Observation 9620af36-9ec1-4310-ba64-0385615d9cb4 · outbound

This paper cites Continual pre-training for cross-lingual llm adaptation: Enhancing japanese language capabilities.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Continual pre-training for cross-lingual llm adaptation: Enhancing japanese language capabilities

Reference 5

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source=arxiv_source observed=2026-08-04T14:50:30.952885Z digest=sha256:4627c03c8aeed5335980b89c981778f6b30cfb2637a124d7435531440c9ed2f7

Observation ff26142c-c0cd-4d8e-87a8-0add72fa0375 · outbound

This paper cites AEGIS 2.0: A diverse AI safety dataset and risks taxonomy for alignment of LLM guardrails.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT AEGIS 2.0: A diverse AI safety dataset and risks taxonomy for alignment of LLM guardrails

Reference 6

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source=arxiv_source observed=2026-08-04T14:50:30.956154Z digest=sha256:0df744e7e506c6fc7375234f3c5bdf47b8f305bf35692e2358bd7063b0a0e734

Observation aea2deaf-e721-4bce-ae6b-4597daea1ed6 · outbound

This paper cites LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models

Reference 7

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source=arxiv_source observed=2026-08-04T14:50:30.959453Z digest=sha256:e5073dd7e028ba589c7562966ba7be6128f2b342f007bdbec566df0ce3183918

Observation 1e2d498e-0219-490a-815a-c3e32549f14a · outbound

This paper cites WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

Reference 8

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source=arxiv_source observed=2026-08-04T14:50:30.962745Z digest=sha256:3d1faedf6ba301a621ad7777a13be0ead39e1ee745e369e41d5c02c45ceee7f2

Observation 91f748cc-25cf-4579-8b24-217300e4883f · outbound

This paper cites Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Chat Vector: A Simple Approach to Equip LLMs with Instruction Following and Model Alignment in New Languages

Reference 9

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source=arxiv_source observed=2026-08-04T14:50:30.966421Z digest=sha256:3ae2afffa43ba4f380d26015229c67b20f53c285ac472bda013ab39a12e8106d

Observation c23e73fc-4789-457f-a297-f84903085429 · outbound

This paper cites GPT-4o System Card.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT GPT-4o System Card

Reference 10

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source=arxiv_source observed=2026-08-04T14:50:30.969946Z digest=sha256:f7aaa38ed61d19477a9d17b967a6f6c518812abbb70e2f51f204cac6ffaf2cb8

Observation 916ddd2a-198d-4800-bcdd-26e01ddbc66f · outbound

This paper cites Wildguardmix-test-ko dataset.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Wildguardmix-test-ko dataset

Reference 11

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source=arxiv_source observed=2026-08-04T14:50:30.973764Z digest=sha256:406340c31fe712f315dca4fe16696ef59608addc6447f39aae8adb3dfaaa45ec

Observation 88938e90-a2d8-40a1-9b1c-986a5efcb3b9 · outbound

This paper cites Editing Models with Task Arithmetic.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Editing Models with Task Arithmetic

Reference 12

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source=arxiv_source observed=2026-08-04T14:50:30.976797Z digest=sha256:b7443cc5e403b8a18b07b7bf61fa0337dcad1dd9835745f76b984e3d53be50f1

Observation 2c624e4e-7ccd-4518-9cb7-062546c6eb6a · outbound

This paper cites OpenAI o1 System Card.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT OpenAI o1 System Card

Reference 13

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source=arxiv_source observed=2026-08-04T14:50:30.980248Z digest=sha256:54547607c2df42a08ffa045538cddcf73f49d0028cc33d984df3def5bf453e2c

Observation f2527b49-f053-4a1d-8d09-695ce836588c · outbound

This paper cites The Llama 3 Herd of Models.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT The Llama 3 Herd of Models

Reference 14

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source=arxiv_source observed=2026-08-04T14:50:30.983316Z digest=sha256:f5c1724ca033ed68e5e4ae2acf894317d14ab435083b11476fb834909ae07b96

Observation e349ff9f-d93d-44fd-9fec-69a585b1f8c8 · outbound

This paper cites Llama-guard-4-12b.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Llama-guard-4-12b

Reference 15

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source=arxiv_source observed=2026-08-04T14:50:30.986411Z digest=sha256:8cc0c3073e5b5b4e3d0b323aba1871d3cbe09bf29a6a47b2295539078f9ce589

Observation 03ff63b5-9738-4b12-8cac-0864b55f331c · outbound

This paper cites Decoupled Weight Decay Regularization.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Decoupled Weight Decay Regularization

Reference 16

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source=arxiv_source observed=2026-08-04T14:50:30.989044Z digest=sha256:677a0d59bdc60f7a0cd29ad58ee3f2a017a8d42377e7325ced613f58a3e5c612

Observation 17a36167-b357-4480-bee9-490901646137 · outbound

This paper cites A Holistic Approach to Undesired Content Detection in the Real World.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT A Holistic Approach to Undesired Content Detection in the Real World

Reference 17

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source=arxiv_source observed=2026-08-04T14:50:30.992141Z digest=sha256:0b77b9d3f335e4960cb52447b2c120024a2fa3d4a3767bf8c5f9d9ed2194d5d6

Observation fd5bd482-19a1-46e2-b9df-a3357130535f · outbound

This paper cites Augmented Language Models: a Survey.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Augmented Language Models: a Survey

Reference 18

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source=arxiv_source observed=2026-08-04T14:50:30.995225Z digest=sha256:5f674c1fdf0eb2f9c36cb49cc3fe3d7161ea22a95e1a54483856641332c7797e

Observation 2b872c27-537e-4e35-b3b1-2cc708ac2cb4 · outbound

This paper cites Content filtering overview.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Content filtering overview

Reference 19

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source=arxiv_source observed=2026-08-04T14:50:30.998272Z digest=sha256:3b7b8023349eb899bf178cfd794352d7f3765f9e53495ea08d95d0200c108bff

Observation ce12c55c-b2b7-4a53-97e6-91db241ade07 · outbound

This paper cites kor\_ethical\_question\_answer.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT kor\_ethical\_question\_answer

Reference 20

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source=arxiv_source observed=2026-08-04T14:50:31.001004Z digest=sha256:50fd62be27c1b03ac82351edc39fd2cadb0419ddef9725cb10cb87b8f185492e

Observation c81485f2-a133-48ee-8279-96f1666e2fa5 · outbound

This paper cites Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Reference 21

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source=arxiv_source observed=2026-08-04T14:50:31.003990Z digest=sha256:8970eb6762469d4b0b3ad9b50b847277efa12e407637e6813695262d7ae71fef

Observation 97d16b7c-2784-483a-b2eb-d2a051b75c15 · outbound

This paper cites llama3-instructrans-enko-8b, 2024.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT llama3-instructrans-enko-8b, 2024

Reference 22

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source=arxiv_source observed=2026-08-04T14:50:31.007280Z digest=sha256:37115bac74202c447fc7f74d8cf36b2fc7dfa60224f1c7a477c3726b07ade694

Observation fbfbcb8e-7874-4416-9146-70f58471a126 · outbound

This paper cites Llama-varco-8b-instruct.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Llama-varco-8b-instruct

Reference 23

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source=arxiv_source observed=2026-08-04T14:50:31.010321Z digest=sha256:9cfd2f8a34c4120943c49c25a73a9c0574d064495933ad9aaa79d376276ea7a3

Observation 3c9cd9e2-5866-449e-a854-6138b1889ca0 · outbound

This paper cites Configuration guide — nvidia nemo guardrails (streaming fields).

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Configuration guide — nvidia nemo guardrails (streaming fields)

Reference 24

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source=arxiv_source observed=2026-08-04T14:50:31.013221Z digest=sha256:b653cb8f4036c824eb69053c7bf414681a4f3df30fdb1df9bd764b52ee04a08e

Observation fba5ee2e-acbd-4338-b829-7e6781dddf84 · outbound

This paper cites Streaming — nvidia nemo guardrails (user guide).

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Streaming — nvidia nemo guardrails (user guide)

Reference 25

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source=arxiv_source observed=2026-08-04T14:50:31.016391Z digest=sha256:8e645bf97191f64e23954c69fa16dfce45c9ca5cd605e38bd997a3813f0232b2

Observation ff4b1a7d-b82f-4295-8248-b66ee46ff0be · outbound

This paper cites Openai preparedness framework, 2023.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Openai preparedness framework, 2023

Reference 26

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source=arxiv_source observed=2026-08-04T14:50:31.019184Z digest=sha256:e35f1962efbb2c512fc33b16a14f6efa6aa6da93a5ed5057c249e081ae50ab22

Observation ff111a60-23fa-4639-ab3a-d93ae1ff5bb0 · outbound

This paper cites Gpt-5 system card, 2025.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Gpt-5 system card, 2025

Reference 27

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source=arxiv_source observed=2026-08-04T14:50:31.023946Z digest=sha256:59eaef9ee81dc0aed413e46c212e756595ebfb7f7b4cae9aefc49915f170e629

Observation 4a31b7af-69a7-40cd-9fc8-a9021167f436 · outbound

This paper cites Tool learning with large language models: A survey.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Tool learning with large language models: A survey

Reference 28

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source=arxiv_source observed=2026-08-04T14:50:31.027049Z digest=sha256:841f323af4b1ffc3b04f6b1e7e6aa292103c1d30b2390acb62b6ab79d12e5aab

Observation 19a211ca-e46e-46ae-8a45-214f2b85e9ef · outbound

This paper cites XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models

Reference 29

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.029785Z digest=sha256:ab6da929b2a1dde3dd645de78f01a2ed11c9a4019b0cdeaed846d6ecf1b60036

Observation 48d602e5-1e7c-4d89-934f-c0980d4c5d96 · outbound

This paper cites Llama-3.1-korean-8b-instruct.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Llama-3.1-korean-8b-instruct

Reference 30

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source=arxiv_source observed=2026-08-04T14:50:31.033984Z digest=sha256:b680d286c44fe807fb526cbc423c1464282b4099ff381eed247675d4b625a9c2

Observation 4d38a7b1-9c3d-4e5f-ba61-6da7fa0c3a2e · outbound

This paper cites Bias Vector: Mitigating Biases in Language Models with Task Arithmetic Approach.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Bias Vector: Mitigating Biases in Language Models with Task Arithmetic Approach

Reference 31

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source=arxiv_source observed=2026-08-04T14:50:31.037378Z digest=sha256:bae4cd7a345819cca485bbd27fb76cab9d71eee9df0842585350d1775ada546f

Observation 1b4dccd2-ccd5-4438-8872-cd4cfa094e0c · outbound

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

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Gemma 2: Improving Open Language Models at a Practical Size

Reference 32

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source=arxiv_source observed=2026-08-04T14:50:31.040613Z digest=sha256:278781bb16bb1ce9fc881549de9c8dfdd4e14904761f01d52eae8262fa0f5094

Observation b7acb2fe-8f06-4f35-b5ce-f23e83ccdb9f · outbound

This paper cites Kanana safeguard, May 2025.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Kanana safeguard, May 2025

Reference 33

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source=arxiv_source observed=2026-08-04T14:50:31.043348Z digest=sha256:66873b6adae2f2bf77e66c2887540959d320e75cdac5a8fe1fcccd4a791c86b5

Observation d542400a-edfb-4ed6-b2fb-2921678d778d · outbound

This paper cites ko-gemma-2-9b-it, 2024.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT ko-gemma-2-9b-it, 2024

Reference 34

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source=arxiv_source observed=2026-08-04T14:50:31.046176Z digest=sha256:ee64a25ca0d9613d9e4a32a1df4d4799718229376d6367c535d223ac3c0bc66d

Observation 0e07e347-5467-4664-a226-80b090c95822 · outbound

This paper cites Introducing v0.5 of the AI Safety Benchmark from MLCommons.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Introducing v0.5 of the AI Safety Benchmark from MLCommons

Reference 35

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source=arxiv_source observed=2026-08-04T14:50:31.049227Z digest=sha256:7c71ce4d9d080d3ff9a3c7bc2b87647205bb7f3e28030b077e9eac4dafcad4f1

Observation f3cbfe49-9c0a-4811-900e-dbce42996647 · outbound

This paper cites Llama3.1-8b-chinese-chat, 2024.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Llama3.1-8b-chinese-chat, 2024

Reference 36

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source=arxiv_source observed=2026-08-04T14:50:31.052233Z digest=sha256:ec74dfe56a853f051adc272bf81aa443d9d1a78c699ee829e871d56987a941a2

Observation 05eb3eba-4c23-4f6a-abb3-c494e220a785 · outbound

This paper cites Ethical and social risks of harm from Language Models.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Ethical and social risks of harm from Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.055121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.055121Z digest=sha256:98a68eb3d37e769027adfa2da8d5e24b2ca6ead74cfa7215b9dedb6ff43a670b

Observation 0a1cb17d-4c2d-4a95-ada5-d24f051f5925 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Efficient Streaming Language Models with Attention Sinks

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.058629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.058629Z digest=sha256:8dfa4bf8c66f5f00e48c3f4e73ce7852df9949abd58667c1552dc1b48bf282f3

Observation f511a1ad-1837-4de6-b872-298dbb6cd721 · outbound

This paper cites On Layer Normalization in the Transformer Architecture.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT On Layer Normalization in the Transformer Architecture

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.062172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.062172Z digest=sha256:b6bf48201d2706ae968c9fd68a000037001d14c5f89296a06db9b6fbfe108e2b

Observation 2a5b647f-e273-4dd5-89ab-d881efb971b5 · outbound

This paper cites TIES-Merging: Resolving Interference When Merging Models.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT TIES-Merging: Resolving Interference When Merging Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.065384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.065384Z digest=sha256:a8f5b59ac1e36bbbdceb14b9f3b81e725723db953732979d4ca44aa5e4a6d8b7

Observation fdc5fc01-f68b-446a-9f36-d568292ec477 · outbound

This paper cites ShieldGemma: Generative AI Content Moderation Based on Gemma.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT ShieldGemma: Generative AI Content Moderation Based on Gemma

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.068603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.068603Z digest=sha256:bb1fb8af0aab176b6323be4bb987401ee7c526df97dda14bad9a4b0ad17db342

Observation 5cce258b-5973-497e-8972-8ee108a434c1 · outbound

This paper cites AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT AI Risk Categorization Decoded (AIR 2024): From Government Regulations to Corporate Policies

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.071555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.071555Z digest=sha256:8597c22ca3bf4041c147091241544cb789fd1e3483e32e997c3049de34774cb2

Observation 5f4c36af-b570-42a9-a0d2-a030a3c3b492 · outbound

This paper cites ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.075209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.075209Z digest=sha256:d05d6d6db1d6feeaee040bd8c6ffcc21b108e554568de5348725cce1ff3bbd31

Observation 8add1a0b-badf-48bd-bd1b-0778cebb3f8a · outbound

This paper cites write newline.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT write newline

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.078552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.078552Z digest=sha256:751a39d35a583ce0cc748a6900a3a6d679c687513423cd1096bf18a88a947ef7

Observation baa0a3f5-5184-464c-9567-151cebcdb598 · outbound

This paper cites @esa (Ref.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT @esa (Ref

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.082139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.082139Z digest=sha256:f355fa3e969bd3296d0fca944b367f8991e0ce6583785756ad1c07097f1d3eb1

Observation b0dabfce-3c80-46a6-a892-84fd33815290 · outbound

This paper cites an unresolved cited work.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.097455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.097455Z digest=sha256:009459f7120c2d41fe916cf081d9f7c2019c7027c6f0eb4b24f54401e6ba8044

Observation 87b5ae40-d8ca-40e8-b066-3bcb1df3d44c · outbound

This paper cites an unresolved cited work.

Guard Vector: Beyond English LLM Guardrails with Task-Vector Composition and Streaming-Aware Prefix SFT Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-04T14:50:31.100765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:50:31.100765Z digest=sha256:5f7d54a2ac70cb3d4e21ddd49532bc689c8ec3e0e377a041a4d9dbff07f8c1e1

Pith citing papers

No inbound Pith citation observations are available.