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Paper Citation Record · LEDGER

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning

As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2412.08955.

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

pith.paper-citation-record.v1
2412.08955 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:25:18.880714Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 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

16 of 16 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3fbebde2-83e2-45f4-85fb-83f897a44f37 · outbound

This paper cites Problem-based learnin g in a programming context-planning and executing a pilot survey on database access in a programming language.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning Problem-based learnin g in a programming context-planning and executing a pilot survey on database access in a programming language

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:25:19.144781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T17:25:18.804969Z digest=sha256:05a3f08c252a4220b2f81f00b6da1cb4513ace7359064f67f34b670758a291c8

Observation 2d3e71c8-ba28-42bb-b9f6-deeb0a3ad366 · outbound

This paper cites The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.825603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.825603Z digest=sha256:0aefb4cb0eb6d4d1535cd3fba7498c0e76b53d82d3be0bef1c5d35a5e1fef663

Observation 6d4bb7f7-859a-4c7b-ab1a-c6f71988dc77 · outbound

This paper cites A Comprehensive Overview of Large Language Models.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning A Comprehensive Overview of Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.831322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.831322Z digest=sha256:144bcea825b64a9b63d4b957ae75f8fc151ebe023c57c879411e43e39e6d2382

Observation fdc75b87-55f1-4ce4-bfd5-a5bb11260f22 · outbound

This paper cites URL https://doi.org/10.1145/3624724.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning URL https://doi.org/10.1145/3624724

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.847334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.847334Z digest=sha256:8bb97ff798a820f3105b01ee1c3c51dd7949c67aaf058e02c0a9d05f062ac5fc

Observation 5dfa5da6-83a1-407f-b4ab-f0e1490460f9 · outbound

This paper cites A Survey on Efficient Inference for Large Language Models.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning A Survey on Efficient Inference for Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.836785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.836785Z digest=sha256:c5747f418e7fc220cfb883b51f119744d3dc3548b9148bbc3664967a2627400a

Observation 49996242-6d8c-44a5-8de4-8c3d4a2c2131 · outbound

This paper cites In-Context Learning with Long-Context Models: An In-Depth Exploration.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.856480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.856480Z digest=sha256:c0f9481ec484b9ab6d11aa514f8e9a534a4ac56c7b0181c93a7f9f266cb65a28

Observation 39a3c40f-753c-401d-8add-b71045065984 · outbound

This paper cites In-Context Learning with Long-Context Models: An In-Depth Exploration.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning In-Context Learning with Long-Context Models: An In-Depth Exploration

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.861222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.861222Z digest=sha256:1a1b3709cfc52d99eb6b9668a3684f8acec61fec49f37772941cdd496dc88bbb

Observation 7934e86c-77b5-41b4-9c21-78f8b1f5b949 · outbound

This paper cites Many-Shot In-Context Learning in Multimodal Foundation Models.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning Many-Shot In-Context Learning in Multimodal Foundation Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.865670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.865670Z digest=sha256:9f67ae3dadba5ef47f7d1ddf9290beec5c51f7984e6b65ae0f6d62e9247a3200

Observation 9493f53d-22bd-4e79-89ff-cda8b30029b7 · outbound

This paper cites Transformers as Algorithms: Generalization and Stability in In-context Learning.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning Transformers as Algorithms: Generalization and Stability in In-context Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.870966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.870966Z digest=sha256:b7349428f8c021a1a8f752c33cb2168e6a24d5897f58abbddfd9f688dd56226a

Observation 7ec7bbde-c529-4fb8-bc3f-cda7bd657691 · outbound

This paper cites What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.875880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.875880Z digest=sha256:2c8230b83052a86bcb82e42f867d42318c86d5b5b966c442cbfe4e9bd78aecbd

Observation 21fa6d11-2b18-4b4c-ab48-86e958cf38d7 · outbound

This paper cites What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning What and How does In-Context Learning Learn? Bayesian Model Averaging, Parameterization, and Generalization

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.880714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.880714Z digest=sha256:6fc8d5a51b2f09cac19bc4ba620aa31e4226f825c5b3c4a0f61aced3bde8943c

Observation 05a534c0-0965-470c-84b0-4a72bfb311ea · outbound

This paper cites Y ucheng Zhou, Xiang Li, Qianning Wang, and Jianbing Shen.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning Y ucheng Zhou, Xiang Li, Qianning Wang, and Jianbing Shen

Reference 91

Resolution
verified exact
doi, observed 2026-08-11T17:25:19.065420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T17:25:18.815224Z digest=sha256:1bb6a0f0a13935ca61e54f261b82c8c3c6068d821da1545418889059f4f254d5

Observation 93070916-d375-4f18-9d69-259bff305a9e · outbound

This paper cites an unresolved cited work.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning Unresolved cited work

Reference 2008

Resolution
verified exact
doi, observed 2026-08-11T17:25:19.081002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-11T17:25:18.810382Z digest=sha256:f8d62e977d073dd144f71edb1df5f9a3a415bf9c80125b649001bbae8529699b

Observation 4479ba9f-c637-4518-8b64-7269184b47f1 · outbound

This paper cites NAACL-MAIN.201.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning NAACL-MAIN.201

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.851816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.851816Z digest=sha256:15fd6472036afd95cce3dd6ab844b33b8f0771705df6e9b60ae7b92a7838b4e7

Observation 6de94063-b67b-4d39-bb47-06d6a359acfc · outbound

This paper cites Thread of Thought Unraveling Chaotic Contexts.

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning Thread of Thought Unraveling Chaotic Contexts

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.820023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.820023Z digest=sha256:16ce7c1fe750319ad762cd6da10d2b2d95e51a638f85a53f1d8eb7a0a5f88e3a

Observation 97c0ab3b-5f19-4893-8880-bcb2d5b72a0f · outbound

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

Align, Generate, Learn: A Novel Closed-Loop Framework for Cross-Lingual In-Context Learning How do Large Language Models Handle Multilingualism?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T17:25:18.841908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:25:18.841908Z digest=sha256:a579e90bb8e45ecd70bb3ed0270bc4f509ead032c5c8e83bc5ac54bb6d2f7132

Pith citing papers

No inbound Pith citation observations are available.