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Paper Citation Record · LEDGER

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.08090.

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

pith.paper-citation-record.v1
2412.08090 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:18:29.510263Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

38 of 38 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b2ed780-d071-4eb5-bc07-d472cad763c6 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages , " * write output.state after.block = add.period write newline

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:18:28.672266Z digest=sha256:124b19b93862ec5119a9cc6a4522d6c123acd80dd2645cbcc6ff2e4c700cc9e4

Observation bc24eae3-b072-4037-b587-3e949580bd62 · outbound

This paper cites write newline.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages write newline

Reference 2

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source=arxiv_source observed=2026-08-11T18:18:28.770735Z digest=sha256:59e80a3391b86778205820037dcdfb4a6f114fcc1dc4b583fd1c70aa009594e0

Observation 6f433e2e-f7b9-43da-8007-158d94b146ad · outbound

This paper cites LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages LinguAlchemy: Fusing Typological and Geographical Elements for Unseen Language Generalization

Reference 3

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Observation e241296d-86d8-4fde-9994-558d90a4117a · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 4

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source=arxiv_source observed=2026-08-11T18:18:28.822239Z digest=sha256:8796e932823817e276db4f9705475b771013fdd973249ca4557f388653ef7052

Observation 35e406b6-22b9-478d-b314-1d2661b80169 · outbound

This paper cites BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages BUFFET: Benchmarking Large Language Models for Few-shot Cross-lingual Transfer

Reference 5

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source=arxiv_source observed=2026-08-11T18:18:28.828728Z digest=sha256:829d3f06600b4fe36fcf1f6ac7e3474d0b504f5bcb9a200aecc599e99c5c2943

Observation d18b3534-5dc5-462b-b3db-7bb28c787bc2 · outbound

This paper cites NusaCrowd: Open Source Initiative for Indonesian NLP Resources.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages NusaCrowd: Open Source Initiative for Indonesian NLP Resources

Reference 6

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source=arxiv_source observed=2026-08-11T18:18:28.834812Z digest=sha256:396a4cfa3b41285f8912204795d001bb37bc748e0b7d890e295a7523b54b369d

Observation ec276eed-7508-44f0-99f8-0fb784937807 · outbound

This paper cites LLMs Are Few-Shot In-Context Low-Resource Language Learners.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages LLMs Are Few-Shot In-Context Low-Resource Language Learners

Reference 7

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source=arxiv_source observed=2026-08-11T18:18:28.840021Z digest=sha256:202d80a18d09d76b729485aa06b58f3dd181c331b9a732a0cbbbd712089bba86

Observation 5929b099-7f6d-41ea-94c4-c160645c1062 · outbound

This paper cites A Dataset for Answering Time-Sensitive Questions.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages A Dataset for Answering Time-Sensitive Questions

Reference 8

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source=arxiv_source observed=2026-08-11T18:18:28.845612Z digest=sha256:d2252e8eb8ea84bcbc7c0213681bb01902dec8650a406db0ac5663691bed0ac0

Observation 8a96d62e-90ff-4093-85eb-2c8b963a1e38 · outbound

This paper cites R.; Eisenschlos, J.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages R.; Eisenschlos, J

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.022789Z digest=sha256:1a8f9747533c4fee011813fd1488963cdf76032864a4f52a14a0c6c7e24f9442

Observation ab219242-a3db-4d0d-bb1d-020d1f4a130a · outbound

This paper cites From LLM to NMT: Advancing Low-Resource Machine Translation with Claude.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages From LLM to NMT: Advancing Low-Resource Machine Translation with Claude

Reference 10

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Observation 060875f3-66e1-4049-b69c-ae969a6e5587 · outbound

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

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting

Reference 11

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source=arxiv_source observed=2026-08-11T18:18:29.087300Z digest=sha256:492ded910a77461e67d6d9b1b93663637faaead3fe0f4dc34dc1cbc2e1f8aae7

Observation 02ff9b7f-2437-4b31-ac96-128167bb35fa · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.093435Z digest=sha256:4e1e230280d80808f27148de30ee7a9b5a48b0655ec53532e4937ce500076bb6

Observation 80d06269-ee0f-4d30-9541-cb4c21f89712 · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.100015Z digest=sha256:1cba4bb1a185cf6e909e41b91412d43620a277d9c2199c2b4e780d5d4775a31c

Observation f57c9c14-9d92-48cb-9e84-2cb21bf87495 · outbound

This paper cites Mistral 7B.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Mistral 7B

Reference 14

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:18:29.104949Z digest=sha256:6e1f28599ae6de6fc6f8026f1dc4c3a2aee47169ea4ab3875a58a5eda6d88329

Observation 122e8b25-e760-4289-b86a-00406eeced0f · outbound

This paper cites XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages XAMPLER: Learning to Retrieve Cross-Lingual In-Context Examples

Reference 15

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.112911Z digest=sha256:d862dff8d45525a9899861f08660f5afb96547c95ee55c3210498a680a90469b

Observation 9ded8c27-0574-4db6-b4b6-5edadbc81872 · outbound

This paper cites V.; Mihaylov, T.; Artetxe, M.; Wang, T.; Chen, S.; Simig, D.; Ott, M.; Goyal, N.; Bhosale, S.; Du, J.; Pasunuru, R.; Shleifer, S.; Koura, P.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages V.; Mihaylov, T.; Artetxe, M.; Wang, T.; Chen, S.; Simig, D.; Ott, M.; Goyal, N.; Bhosale, S.; Du, J.; Pasunuru, R.; Shleifer, S.; Koura, P

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.120222Z digest=sha256:24c078d709b936993caf621d5b80ca6e7835a39503f678783a3a89faa5747beb

Observation d07e48a7-782d-4e5d-8ad4-7e0fcec4c047 · outbound

This paper cites Few-shot Learning with Multilingual Language Models.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Few-shot Learning with Multilingual Language Models

Reference 17

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source=arxiv_source observed=2026-08-11T18:18:29.126607Z digest=sha256:ce1695e3d013ba3cd0a10626b7ddb69d99e1ba935cf43cd420ea18cad11d42a0

Observation 7371ad37-a1b6-4b9a-9704-c41bf5fe7c16 · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 18

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.132922Z digest=sha256:35d9779380dd62433c128adfbcf17cf131f577b5aba715e6604d646266cf58e4

Observation 437506e8-83cc-40ed-8ba5-49d2e97bf5c0 · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.139678Z digest=sha256:13dd2fdac396fdd90ce710cd530792629ff7593083bd9a9a504a9c130eb0c607

Observation 6a57101f-0b50-4287-b4d9-ab8891a2837b · outbound

This paper cites Crosslingual Generalization through Multitask Finetuning.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Crosslingual Generalization through Multitask Finetuning

Reference 20

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Observation 0b6b0910-9102-4413-98ff-f03b545c53ce · outbound

This paper cites Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Democratizing LLMs for Low-Resource Languages by Leveraging their English Dominant Abilities with Linguistically-Diverse Prompts

Reference 21

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source=arxiv_source observed=2026-08-11T18:18:29.150391Z digest=sha256:dd9b5031a6e034c2fc0a8e3f36477e929d5c092f0d47857013f4fbf272bc44f0

Observation e1a943fb-829b-4a05-b6ee-cb1dcaf9e486 · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.156013Z digest=sha256:3faec36633eb99290c9baaec1ddd19c3f9067998ed39f9b2b18cde4d9e3bcd91

Observation 5c8b8831-3211-4278-8c66-2021f9bdd77d · outbound

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

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Reference 23

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Observation ed26186d-a6b7-45ff-84a3-de27ff96a0ed · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 24

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source=arxiv_source observed=2026-08-11T18:18:29.169364Z digest=sha256:92c313a669cf47a06ebe824634b9764fe594fe873589de9fad79c09268dc4cfa

Observation 0944e5c6-8a59-47d4-9e6b-35965900c7b4 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 25

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source=arxiv_source observed=2026-08-11T18:18:29.175273Z digest=sha256:a402774131f8b9427ec8a97024583426d05822450d54689f47c84d1f3e8b6dcf

Observation b15acddb-259b-4cba-88ac-8e361b9ce9cf · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 26

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raw_fallback, observed 2026-08-11T18:18:30.234080Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation fa226ba3-3214-4161-af26-2624bdc12d96 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:18:29.336304Z digest=sha256:4a0bdb548c636114b6650c6f81565f3a19750aff3401f804b6f175fe12dba8cf

Observation 89a2204a-b59c-48c9-9151-87d9179ac28d · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 28

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unresolved
raw_fallback, observed 2026-08-11T18:18:30.216445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ac4a982c-3670-4923-8688-0fb835afff63 · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-11T18:18:30.196664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.452800Z digest=sha256:644f74db360e09872944339f033531f41eaf0aa009c565e214a4a7584174acc8

Observation f45bd402-7092-4a4d-abf7-646b3aa3bf06 · outbound

This paper cites Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models

Reference 30

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no resolver link, observed 2026-08-11T18:18:29.459293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:18:29.459293Z digest=sha256:a00d1e172fc93fe2f5ac6654bf2725dc98c5d27b51682a58d7d4874f8f88ff64

Observation 09b86870-86eb-436f-984c-d3ad5c7e18c1 · outbound

This paper cites Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment

Reference 31

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no resolver link, observed 2026-08-11T18:18:29.464807Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:18:29.464807Z digest=sha256:5d3361c4332d651b649955f4a9ad5e853a3a21690ff17fc460b47de66bbc92df

Observation 41ca306d-37bc-4318-b083-f7198a6c18ac · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 32

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raw_fallback, observed 2026-08-11T18:18:30.178585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.469203Z digest=sha256:3a6db3e9539eb8eaab72cea6fae4a6235b06182b3933509d6fd30039f17fb257

Observation 87b1e28b-0efd-4820-9ec5-ee663bfdbca2 · outbound

This paper cites an unresolved cited work.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-11T18:18:30.161678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.474251Z digest=sha256:481f4994a03ee4b938ca0cbb29ed94a7b7fd3ee6f8f5edcb98f7c369b8c1ee3d

Observation ebe0cf59-4e44-4bf2-8dec-cc0bfa702365 · outbound

This paper cites I.; Madotto, A.; Lin, Z.; Liu, R.; Yosinski, J.; and Fung, P.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages I.; Madotto, A.; Lin, Z.; Liu, R.; Yosinski, J.; and Fung, P

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:18:30.117878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.479352Z digest=sha256:67ee43f35e78de02334c2336019229f214193c23983a9067a46976e26903ed7f

Observation 6173c4a5-d398-46ac-8276-6982552b155a · outbound

This paper cites LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages LEIA: Facilitating Cross-lingual Knowledge Transfer in Language Models with Entity-based Data Augmentation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-11T18:18:29.643342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T18:18:29.484361Z digest=sha256:6b6be31416be646ceef3b3d9d6d4b674d3e1758dceca463936dd260914cbbb4b

Observation 8b91aba6-bc72-454f-bdcf-a0e35012da68 · outbound

This paper cites Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:29.491688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:18:29.491688Z digest=sha256:fd18d1249dec2a942161eb57d981ac991eca2951aa202175f52fba2288a34828

Observation 38e5b1f5-1d75-43d4-9c03-dde923d5508b · outbound

This paper cites Calibrate Before Use: Improving Few-Shot Performance of Language Models.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Calibrate Before Use: Improving Few-Shot Performance of Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:29.504225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:18:29.504225Z digest=sha256:d7a77975243cb9420cfdcba1020ca5b2e4b15966ca25feee831468065c9fa78b

Observation 9a52f589-cd42-4ee4-b33b-4fabc4a25354 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Multilingual LLMs Inherently Reward In-Language Time-Sensitive Semantic Alignment for Low-Resource Languages Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T18:18:29.510263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:18:29.510263Z digest=sha256:f37d2b32300015a685673d1bd1caba72e4d1474ba15762eb4d05d4575e5fd73c

Pith citing papers

No inbound Pith citation observations are available.