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Paper Citation Record · LEDGER

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG

As of 19 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2607.02966.

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

pith.paper-citation-record.v1
2607.02966 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T05:47:14.970921Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

66 of 66 outbound references displayed

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  • verified fuzzy0
  • unresolved62
  • parse uncertain0
  • malformed identifier3
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 4db47230-471c-48fd-8f18-c71313bbe6f7 · outbound

This paper cites On-policy distillation of language models: Learning from self-generated mistakes.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG On-policy distillation of language models: Learning from self-generated mistakes

Reference 1

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:900d61b1d035d411a7fbcd3a00d92367a4b31ca9da65fe6840c79ded0c2955e2

Observation a09153c0-d831-4c70-bfe5-5fbe8aa96c37 · outbound

This paper cites XOR QA: Cross-lingual open-retrieval question answering.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG XOR QA: Cross-lingual open-retrieval question answering

Reference 2

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:4fce8e4f8466d5235f97803dabe256c1f7934be63a2e5844968d211e0f2731bf

Observation 22d9df9a-d417-46f1-af59-12a145149b66 · outbound

This paper cites One question answering model for many languages with cross-lingual dense passage retrieval.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG One question answering model for many languages with cross-lingual dense passage retrieval

Reference 3

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:30d83deb6025c1c38466134e57167c7ad9c13088e1a2cd17a5a24e4177f71443

Observation f8a2940c-82b0-45fd-9a69-9d02ec31e49b · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks.Advances in neural information processing systems, 28, 2015.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Scheduled sampling for sequence prediction with recurrent neural networks.Advances in neural information processing systems, 28, 2015

Reference 4

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:ff4a956f8b4919582e7e35deabc745378ac1b9799f4cb2f2ab946b4824099a26

Observation 14c7c72f-6f6a-44f2-80de-7e849e804618 · outbound

This paper cites Clark, Jennimaria Palomaki, Vitaly Nikolaev, Eunsol Choi, Dan Garrette, Michael Collins, and Tom Kwiatkowski.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Clark, Jennimaria Palomaki, Vitaly Nikolaev, Eunsol Choi, Dan Garrette, Michael Collins, and Tom Kwiatkowski

Reference 6

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:39c4863d0e51b3661dcd6bb2fbb2e9074975c12af7fe03b331d66983b77f44a0

Observation 710eb265-6571-45ac-9adf-9e9b03310da5 · outbound

This paper cites The Llama 3 Herd of Models.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG The Llama 3 Herd of Models

Reference 8

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:ba970562125788340d329f75ab0fdb1c7dcd3286cb4b1016436b84c1698972e4

Observation 896f92dd-8ab1-45b2-9520-bd38f16df967 · outbound

This paper cites Cross-lingual Self-Consistency for Multilingual Reasoning with Language Models.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Cross-lingual Self-Consistency for Multilingual Reasoning with Language Models

Reference 9

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:db74de298b2ea6874b2dd05f74a8f01cbc40e45c23aabf846a2e7b3fd3dc9e58

Observation fbb3d25a-5f87-4769-a49b-b8220437c51c · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 10

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Observation c20da301-0296-407f-9870-9af082d31b89 · outbound

This paper cites Learning word vectors for 157 languages.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Learning word vectors for 157 languages

Reference 11

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:674f4c55c2ff09cea0f648c899d0b3a7b5caaa54c8a06d67847fd0e59d86a5c0

Observation f7a427a7-3c9b-4233-8c7b-4ec881c40383 · outbound

This paper cites MiniLLM: On-Policy Distillation of Large Language Models.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG MiniLLM: On-Policy Distillation of Large Language Models

Reference 12

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:bf80688d20ff68dbf77ced61d5f9088046452c0ed8a836695d96fbda03795a69

Observation a2de6ee7-15ad-44bf-b502-9e3fea3c0b0d · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Distilling the Knowledge in a Neural Network

Reference 13

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:f9eff84e700db67dc9857be83d23ef9ac9b49636e0576e55be00b91e6804786c

Observation a63fe2e2-f029-4a9c-a989-7718f258baa1 · outbound

This paper cites Xtreme: A massively multilingual multi-task benchmark for evaluating cross-lingual generalisation.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Xtreme: A massively multilingual multi-task benchmark for evaluating cross-lingual generalisation

Reference 14

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Observation 3220e978-2603-4a1e-a99a-aa6ea6fbe749 · outbound

This paper cites Llm-adapters: An adapter family for parameter-efficient fine-tuning of large language models.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Llm-adapters: An adapter family for parameter-efficient fine-tuning of large language models

Reference 15

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:2216d09a6a6b667e6c0475ceca34f34c7a22a8c82df07292de60f524ab00a693

Observation 93913575-09a0-4132-aeba-23e80f4a3b8d · outbound

This paper cites an unresolved cited work.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Unresolved cited work

Reference 16

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:94cb224c0d46b79ca69d4afcd84998335bc3e7e662864de55e047bef570db679

Observation 2f5a730a-b407-4d49-af47-89abdd284b1e · outbound

This paper cites RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG RAG-RL: Advancing Retrieval-Augmented Generation via RL and Curriculum Learning

Reference 17

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:b7c5b5c6f61986dece1a228bcf5a27e47a3212a85f78b9474f677c103d5f22de

Observation 380c23c2-d195-40f0-b1cf-16288d7baff8 · outbound

This paper cites Learn globally, speak locally: Bridging the gaps in multilingual reasoning.arXiv preprint arXiv:2507.05418, 2025.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Learn globally, speak locally: Bridging the gaps in multilingual reasoning.arXiv preprint arXiv:2507.05418, 2025

Reference 18

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:492827c92f1bf726b11a31a1ff002ea1aec1962b5e9f99d56f2692470e4bc95a

Observation 1f4a0af5-0987-4f8e-9d4e-1177418c193e · outbound

This paper cites TinyBERT: Distilling BERT for natural language understanding.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG TinyBERT: Distilling BERT for natural language understanding

Reference 19

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Observation 649d50ad-8821-458d-aa84-d0b35bc3fafb · outbound

This paper cites Bag of tricks for efficient text classification.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Bag of tricks for efficient text classification

Reference 20

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Observation 21d18aca-8d94-4b1a-82b7-e6e9fcfc48d9 · outbound

This paper cites an unresolved cited work.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Unresolved cited work

Reference 21

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Observation 1f894e4c-bd00-49c7-b473-7880171e54e1 · outbound

This paper cites VinePPO: Refining Credit Assignment in RL Training of LLMs.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG VinePPO: Refining Credit Assignment in RL Training of LLMs

Reference 22

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Observation 84332950-a718-4456-b71e-11437483ee04 · outbound

This paper cites Sequence-level knowledge distillation.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Sequence-level knowledge distillation

Reference 23

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:3287a50c9362cbaf21de41a7e8ddb7f233456158d9d8a46b3cd198a823e0eb44

Observation 95a13e1a-9c50-48f9-bca3-080f01d372ce · outbound

This paper cites The power of character n-grams in native language identification.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG The power of character n-grams in native language identification

Reference 24

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:79a2ce96451fdff203aec421eada06608b9545bfc7e962a5d29b40eb3dd28460

Observation 1f07c23e-07c4-43aa-850e-4acac13b0c00 · outbound

This paper cites Efficient memory management for large language model serving with pagedattention.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Efficient memory management for large language model serving with pagedattention

Reference 25

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:40e9b4e5ba94bd519272a1dd9da4052ed3c01b6df9ee48d1582a468a11b74fed

Observation 87a074e4-44a7-4ea3-aa5d-93b543b27d3e · outbound

This paper cites MLQA: Evaluating cross-lingual extractive question answering.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG MLQA: Evaluating cross-lingual extractive question answering

Reference 26

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:e11edb47fba205e63c2c68566b3572b9b31480ad76da25206d3c662e2ff53afd

Observation dc29b5fa-4e2a-4106-aa92-48fe5a910418 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive NLP tasks.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Retrieval-augmented generation for knowledge-intensive NLP tasks

Reference 27

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:33d9870d13f782eb63ddee1fdcd5f5d801bb2ab0603d631df2244caf85ad02d8

Observation f097b81c-bfcb-4b42-8aa6-22103fbbf811 · outbound

This paper cites Language drift in multilingual retrieval-augmented gen- eration: Characterization and decoding-time mitigation.arXiv preprint arXiv:2511.09984, 2025.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Language drift in multilingual retrieval-augmented gen- eration: Characterization and decoding-time mitigation.arXiv preprint arXiv:2511.09984, 2025

Reference 28

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Observation 260c28e6-b7cb-471c-8b15-15a868c66c62 · outbound

This paper cites MKQA: A linguistically diverse benchmark for multilingual open domain question answering.Trans.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG MKQA: A linguistically diverse benchmark for multilingual open domain question answering.Trans

Reference 30

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Observation a69d9326-96ba-4963-b369-ef162affe31f · outbound

This paper cites MMATH: A Multilingual Benchmark for Mathematical Reasoning.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG MMATH: A Multilingual Benchmark for Mathematical Reasoning

Reference 31

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:8b9122e896ddf87bdb6278ac3b6ad1401339aa54f845888fc01dc4e6b03f9ec3

Observation 85a94a5c-11ac-4afb-86dd-998268fc3c06 · outbound

This paper cites When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG When Retrieval Doesn't Help: A Large-Scale Study of Biomedical RAG

Reference 32

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Observation 875bf35d-980c-4295-99fd-b27944b2ef83 · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 33

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:028ea9f5509c3703fc2212af1033fd7be4b9ea16b0d9de41d958d3fe5eea3eec

Observation 6780e493-7a01-40d1-be6e-d523f1780003 · outbound

This paper cites GRAIL: Gradient-reweighted advantages for reinforcement learning with verifiable rewards, 2026.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG GRAIL: Gradient-reweighted advantages for reinforcement learning with verifiable rewards, 2026

Reference 34

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:7114a898977d8a4c04d9b536495fcf48910f89991700ad5bc1ff19266cd3e793

Observation ef3aea1a-1237-4766-8c4e-cf211c0c2153 · outbound

This paper cites Investigating Language Preference of Multilingual RAG Systems.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Investigating Language Preference of Multilingual RAG Systems

Reference 35

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:5786fd057d822da99c6dea5cda72d6ec5cb0fa278da4279bf6fc0d1580c01bbf

Observation 53d594f9-f43f-42cd-9486-191f6b5b458b · outbound

This paper cites DuDi: Dual-signal distillation with cross-lingual verbalizer,.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG DuDi: Dual-signal distillation with cross-lingual verbalizer,

Reference 36

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Observation 7749c34e-a2d6-4190-8efe-f65ca0ce85f8 · outbound

This paper cites DuDi: Dual-Signal Distillation with Cross-Lingual Verbalizer.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG DuDi: Dual-Signal Distillation with Cross-Lingual Verbalizer

Reference 37

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Observation 78262b9d-b324-4af0-87f4-4e303aab88c7 · outbound

This paper cites chrF: character n-gram F-score for automatic MT evaluation.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG chrF: character n-gram F-score for automatic MT evaluation

Reference 38

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:4a74a9a6bff94cba41e3b06fdbcfb3b52cdaf3c824214c0b61fe1ab867c627eb

Observation 6b6772a6-fd00-4361-8f97-e0a216b5da2b · outbound

This paper cites chrF++: words helping character n-grams.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG chrF++: words helping character n-grams

Reference 39

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Observation 7b9098cd-ec36-42e9-ac13-a1a509ba199a · outbound

This paper cites On the consistency of multilingual context utilization in retrieval-augmented generation.ArXiv, abs/2504.00597, 2025.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG On the consistency of multilingual context utilization in retrieval-augmented generation.ArXiv, abs/2504.00597, 2025

Reference 40

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Observation b889a9b7-aeb2-4094-a35c-992f6f2a3e88 · outbound

This paper cites Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation

Reference 41

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:7aaf1a31c7752e9add4ced72e94b1db027c6bac335c86d966a19e5494d628719

Observation 87560a51-f2e6-4276-8c79-c0e8d3dffae8 · outbound

This paper cites CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG CroSearch-R1: Better Leveraging Cross-lingual Knowledge for Retrieval-Augmented Generation

Reference 42

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:2073fc203b1c0ff1511001344f9f2954a85551dd858666b2c8a664d1a31046e4

Observation 0a4e7380-566f-4dce-885f-15d95957612a · outbound

This paper cites Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Reference 43

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:a3152fc0800ce1489e0e6e55726a21c5fca7512909a5fb2890cc4ebd164fbcf0

Observation 256afa14-5fa7-479c-b7d4-6c0c6f083357 · outbound

This paper cites Manning, and Chelsea Finn.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Manning, and Chelsea Finn

Reference 44

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:94fb023e5bf0ccb022196164b0f1613541d1146c15e4f28f05ba8d52d07c5bc0

Observation 8ec7d0c8-56c5-486a-87c2-62e8603440fb · outbound

This paper cites Sequence Level Training with Recurrent Neural Networks.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Sequence Level Training with Recurrent Neural Networks

Reference 46

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:e78f1a784356dd2f3aa4750b6862e51fb8dc440bc76281b533704dc1fe560b47

Observation b351d0d7-e217-426f-b82a-91d4f39456bc · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 47

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:34811da1a2bf53806fb6b55a1ac46cbb6ab1bc9191cfb078dcf28e5004e4cde7

Observation 4680fffe-865f-444b-b6ed-15585534bcf1 · outbound

This paper cites Approximating KL divergence.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Approximating KL divergence

Reference 48

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:2dde4c741f1c3aebf6fb2bcb1ac2dbc5ce1e3d855446329758ad799889d2bceb

Observation e314d6f9-94bc-475a-8ac4-97a8a138736c · outbound

This paper cites Proximal Policy Optimization Algorithms.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Proximal Policy Optimization Algorithms

Reference 49

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:a3623843912b3c7c1b4f01ce9212fe353ab4f66589abb1ee00bd235327c2c5e4

Observation a9b2fc5d-7524-409c-9c90-4771785e2b63 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 50

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:54aaaa6bf1880498857c0f44fe64ebeb50f0e049cb6cc01b2d5c28c9f1db5823

Observation 21b5d3eb-349f-4a06-b9c8-024d8b9c39ea · outbound

This paper cites Reinforcement Learning-based Semi-supervised Knowledge Distillation with LLM-as-a-Judge.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Reinforcement Learning-based Semi-supervised Knowledge Distillation with LLM-as-a-Judge

Reference 51

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:2be07adfe9cae7891d47dd074a547a5376235f5694215f47b430f1c059ebfac2

Observation f6820243-934d-4162-b0aa-614faeb69a46 · outbound

This paper cites Patient Knowledge Distillation for BERT Model Compression.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Patient Knowledge Distillation for BERT Model Compression

Reference 53

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:de3a91903e5156eed2d9efbff5b93f47816c35b040c32f2a8a592c0f399577a6

Observation e15d7703-c824-4432-8044-8c61cf124904 · outbound

This paper cites Policy gradient meth- ods for reinforcement learning with function approximation.Advances in neural information processing systems, 12, 1999.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Policy gradient meth- ods for reinforcement learning with function approximation.Advances in neural information processing systems, 12, 1999

Reference 54

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:e3ecd5492f79a17d43fc083e70c66179392dddd0004fa99525e030808643b1e9

Observation fb18b06e-50f0-4d3e-8316-4ac5d857531d · outbound

This paper cites An overview of the bioasq large-scale biomedical semantic indexing and question answering competition.BMC bioinformatics, 16(1):138, 2015.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG An overview of the bioasq large-scale biomedical semantic indexing and question answering competition.BMC bioinformatics, 16(1):138, 2015

Reference 55

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:a35065e8ec29a824e0281f73b63b17d452328dc13a13a7073c887480f93adb4a

Observation b750d55a-c078-405e-9597-652823d6ebdf · outbound

This paper cites MiniLM: Deep self-attention distillation for task-agnostic compression of pre-trained transformers.Advances in neural information processing systems, 33:5776–5788, 2020.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG MiniLM: Deep self-attention distillation for task-agnostic compression of pre-trained transformers.Advances in neural information processing systems, 33:5776–5788, 2020

Reference 56

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:baf0b9668f35aa242169793fe850bc7eb7794c6d1602e05a939c8117b1de149a

Observation 39b18520-87ef-48b5-bbd2-b0891ff74f9c · outbound

This paper cites Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Reproducing, Analyzing, and Detecting Reward Hacking in Rubric-Based Reinforcement Learning

Reference 57

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:dece4adb2d5e77167f85d21d0a0cf056d8e72384ab69eb252b2b4f91ab599d0c

Observation 4a7f039e-a76e-48ee-ada0-5a04aef6316e · outbound

This paper cites Polymath: Evaluating mathematical reasoning in multilingual contexts.CoRR, abs/2504.18428, 2025.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Polymath: Evaluating mathematical reasoning in multilingual contexts.CoRR, abs/2504.18428, 2025

Reference 58

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:df07b9cc12ce9f027a1352b5c2635b61c153a15966606552dc712ba67b5dc7bb

Observation 94f8e2f6-674c-48fd-8a10-e66e48b7caa0 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Chain-of-thought prompting elicits reasoning in large language models

Reference 59

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:966a71448da739f00675fa1ce3c73844935f2cfa0b0ba97503e4ab4b0c47a265

Observation 50621e6f-b67a-407b-9b36-98e5f68bf582 · outbound

This paper cites Simple statistical gradient-following algorithms for connectionist reinforce- ment learning.Machine learning, 8(3):229–256, 1992.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Simple statistical gradient-following algorithms for connectionist reinforce- ment learning.Machine learning, 8(3):229–256, 1992

Reference 60

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:aa06b45a9b9f22e9d12495d535d87307c3c12034cc8f58de4bc97046597dba8b

Observation a71b3711-c797-47c1-9b0e-12a24e8508a5 · outbound

This paper cites Qwen3 Technical Report.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Qwen3 Technical Report

Reference 61

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:7098c5cf274c74fab8f9053e74ef0e4b17de8f7ff9c81c9cc31112899ca132c8

Observation f7cceda6-c44e-416a-ba62-f7f8bc50dac2 · outbound

This paper cites Self-distillation bridges distribution gap in language model fine-tuning.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Self-distillation bridges distribution gap in language model fine-tuning

Reference 62

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:efa1f5ed7d6576e9f25cf66f2039b8260a93c3c96caed442517869b7d5807014

Observation 0731a7f1-3f5b-4035-afe7-6cf2962e3681 · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Reference 63

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:73307ad6c9030304fdefac6664d61e13d9864ac26354c7f8afc3388f120e807f

Observation d6356a5f-1ed6-4b53-bb14-62ce94fafd62 · outbound

This paper cites Who transfers safety? identifying and targeting cross-lingual shared safety neurons, 2026.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Who transfers safety? identifying and targeting cross-lingual shared safety neurons, 2026

Reference 64

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:bbf34ba54287934129822fae13df6080bcaf6db38de70b76089f8f46947c5f7e

Observation c0d071bf-005c-4835-86fe-73f190890f18 · outbound

This paper cites MIRACL: A multilingual re- trieval dataset covering 18 diverse languages.Transactions of the Association for Computational Linguistics, 11:1114–1131, 2023.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG MIRACL: A multilingual re- trieval dataset covering 18 diverse languages.Transactions of the Association for Computational Linguistics, 11:1114–1131, 2023

Reference 65

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Observation ab02c2e2-20ec-402d-b72a-ee1617e4ec3a · outbound

This paper cites Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Data.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Self-Evaluation Is Already There: Eliciting Latent Judge Calibration in Base LLMs with Minimal Data

Reference 66

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:b7785dd4a441d4a3119cbe7f9c55615dfd049d02f1e2cd3cf748aed8c394eaf8

Observation da6b0a5d-e337-46c5-8570-76ecbd36f312 · outbound

This paper cites Think natively: Unlocking multilingual reasoning with consistency- enhanced reinforcement learning.arXiv preprint arXiv:2510.07300, 2025.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Think natively: Unlocking multilingual reasoning with consistency- enhanced reinforcement learning.arXiv preprint arXiv:2510.07300, 2025

Reference 67

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:c51b0485f7d9e32fcc8d60ad00b29cd66d39cfefeafd745a77bf66791e6b24eb

Observation ea3b26ba-bada-452c-bbb7-5d8acebc5fe2 · outbound

This paper cites Reinforcement-aware Knowledge Distillation for LLM Reasoning.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Reinforcement-aware Knowledge Distillation for LLM Reasoning

Reference 68

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:9056be3c320393c3f67c7b7b96b0e465e8fe51f27ee02dffb6c8daf53f543f5a

Observation 4109c8fd-7679-4f7c-9d55-0aedf2a0fe65 · outbound

This paper cites Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models

Reference 69

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Observation dde11023-1d54-47b5-94c3-c64c030f062b · outbound

This paper cites action” is the entire sequencey, and consider asum-KLregularizer (no length normalization). Define a sequence-level teacher “prior.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG action” is the entire sequencey, and consider asum-KLregularizer (no length normalization). Define a sequence-level teacher “prior

Reference 70

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Observation 641beda7-bb36-408d-9816-64e6e908686c · outbound

This paper cites an unresolved cited work.

Distill Where the Student Goes: Teacher-Regularized RL for English-Evidence Cross-Lingual RAG Unresolved cited work

Reference 71

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source=pdf_text observed=2026-07-12T05:47:14.970921Z digest=sha256:0de3514cff9e9e5f2fb3e4ff659269858b33abb21b6e23939f77e4c3de0c5847

Pith citing papers

No inbound Pith citation observations are available.