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Paper Citation Record · LEDGER

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation

As of 13 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.01954.

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

pith.paper-citation-record.v1
2506.01954 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:32:58.508667Z

measured 43 of 43 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

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe93212a-faa7-453d-8da2-1a2c2c384096 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:54.553834Z digest=sha256:7b1cb22853c75ecf2124a7e3a22feec69245772abb7ad146e9b48442bf04739f

Observation bfd8f34a-11d3-43db-9492-c34f99f87f37 · outbound

This paper cites Context Tuning for Retrieval Augmented Generation.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Context Tuning for Retrieval Augmented Generation

Reference 2

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source=arxiv_source observed=2026-08-07T11:32:54.658603Z digest=sha256:87789e39e5c159478fe87809d13696ebc86e383798baf63842f9aeef12e14fa4

Observation a0dc9248-52fa-409b-a3ac-96864af0289b · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 3

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raw_fallback, observed 2026-08-07T11:33:00.725193Z

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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=2026-08-07T11:32:54.757872Z digest=sha256:ca7c69cd4aa661a05938b8d3d54e21b9ed50e6bcbb9fcf88f8eb4a718ec425c6

Observation 4dc8d241-64e5-4461-b4eb-70867489828e · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

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source=arxiv_source observed=2026-08-07T11:32:54.873706Z digest=sha256:9b62f7824e164246077b59e7b0ff76d6be1546f26e98104072e714464cacee61

Observation 7e25bcd3-eb9d-4582-b780-a4e0c804a47f · outbound

This paper cites LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation LLMQuoter: Enhancing RAG Capabilities Through Efficient Quote Extraction From Large Contexts

Reference 5

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local_arxiv, observed 2026-08-07T11:32:58.923284Z

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=2026-08-07T11:32:54.992904Z digest=sha256:70b15b942ede8b3700704293145915b94a7be41b8bee04712ed3f3b8b6ec0d18

Observation 67afefa0-d586-4219-a44f-50adf59d33e7 · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-07T11:33:00.587616Z

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=2026-08-07T11:32:55.112242Z digest=sha256:624c88015f39c52dfc61cfd15e6282a0bf0321e86439015af7648d1c714af0e9

Observation 63d1f457-386d-444d-a727-3a20334e7a1d · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 7

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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=2026-08-07T11:32:55.239930Z digest=sha256:d6be389e1fa9945c0b9803c6b9b5424df9e1c39fecd8638c0ea65b238bcb2df1

Observation 506f254a-9b0f-4c60-833c-c03378ccc342 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 8

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source=arxiv_source observed=2026-08-07T11:32:55.333014Z digest=sha256:7cfc0028cdf5629957bd1cd217ba0249ec444465bae0f37d499974fc20434461

Observation f94d9f49-93f9-4a46-ac32-3ba5ddeba5cf · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 9

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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=2026-08-07T11:32:55.482632Z digest=sha256:3ff6823885da1cd9bdd57ffc9167fd99c2b92e2f9d2e8b013877f84e5d96d15d

Observation c069c97b-8581-43fa-a6ed-140162c797b3 · outbound

This paper cites The Llama 3 Herd of Models.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation The Llama 3 Herd of Models

Reference 10

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source=arxiv_source observed=2026-08-07T11:32:55.572342Z digest=sha256:0c8a27b7f3ca5899127a245cee890034b3851e603bb22b95d49c25bc075f124b

Observation 14c91864-97e2-4f7a-92bb-f850a83f255a · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 11

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source=arxiv_source observed=2026-08-07T11:32:55.675776Z digest=sha256:7298944be58a022da83ad83080cd7f76922180522a2272b715d3685692278dd1

Observation 605214c4-1ed0-48fa-9b31-0cbf6ef8ba42 · outbound

This paper cites MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation

Reference 12

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source=arxiv_source observed=2026-08-07T11:32:55.765131Z digest=sha256:544dd2f14c77448a66823f7a128346e78295aa890ff481d353cf19486a2cbd46

Observation c0c36148-f846-4b6f-b483-8e1bb45bac80 · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 13

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source=arxiv_source observed=2026-08-07T11:32:55.872398Z digest=sha256:efed4e4f58f6bffb0d8e03bee12693098cd7925b8a53f103d70a25bb7574826c

Observation d3c1a027-5a40-471c-865f-47c0812da7b3 · outbound

This paper cites G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering

Reference 14

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source=arxiv_source observed=2026-08-07T11:32:55.959804Z digest=sha256:ba6f0b48f2e8f4f4d1a439b3d8942307990c79d73ba633fb58f2a96ab3aa78fd

Observation 159349d7-b00c-4518-9f34-cc757691cefe · outbound

This paper cites Measuring Massive Multitask Language Understanding.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Measuring Massive Multitask Language Understanding

Reference 15

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source=arxiv_source observed=2026-08-07T11:32:56.038630Z digest=sha256:f610e908d3de914f8d2aea6287cb9cf20c6c61a935263a3eb6e228ba24fa574e

Observation 75a80abb-c495-44f1-b40f-6c63bc11d4ae · outbound

This paper cites GRAG: Graph Retrieval-Augmented Generation.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation GRAG: Graph Retrieval-Augmented Generation

Reference 16

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source=arxiv_source observed=2026-08-07T11:32:56.114738Z digest=sha256:1aeed97a9e72f2e86d68834b4735c87b300d388f4af86da2def22a8214f47879

Observation 4af229aa-17f4-4d75-9302-7a305826de2c · outbound

This paper cites GPT-4o System Card.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation GPT-4o System Card

Reference 17

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source=arxiv_source observed=2026-08-07T11:32:56.203207Z digest=sha256:2da2696e83d9e605b53290d9df4b532cf28068f42b5c2f46fc4ac2e15e3a9ded

Observation 334e0148-a944-4585-a0fc-045b3977c3d1 · outbound

This paper cites Distilling Knowledge from Reader to Retriever for Question Answering.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Distilling Knowledge from Reader to Retriever for Question Answering

Reference 18

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source=arxiv_source observed=2026-08-07T11:32:56.297304Z digest=sha256:33650b1df764ed7ac08a9e15837d16756d5afebb5b6be5381ad526f484eaa474

Observation 32f9ef32-b064-4cb1-b1f2-5b7357ceefb7 · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-07T11:32:56.391977Z digest=sha256:d5f03962b1f25db306f9addf902d06008c7ff47ca7a88b65c57ae8ab632bfcdc

Observation 385cc206-b44f-4e65-97bd-06eb82eb0648 · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 20

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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=2026-08-07T11:32:56.462208Z digest=sha256:84b7e0130ef751552dea2862fca9a0746442f2c39cfb127bb8fba6094bb32027

Observation 83ebe2fc-fb5a-440b-b89c-1112bf6de75e · outbound

This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt\

Reference 21

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raw_fallback, observed 2026-08-07T11:32:59.975749Z

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=2026-08-07T11:32:56.543751Z digest=sha256:6022c5f96e01068f80dee4b45b17fd36344569e1935c9e30971832d27d6b8eb4

Observation cd704938-d6d3-46c6-935b-34b44e6f3e12 · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 22

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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=2026-08-07T11:32:56.609727Z digest=sha256:a69320ea20a8e769ee96ce3e5d399eae7344f83ffa83367d34aa685023c28291

Observation e9d189e0-ce77-40cb-a899-b133b3d55504 · outbound

This paper cites DeepSeek-V3 Technical Report.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation DeepSeek-V3 Technical Report

Reference 23

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source=arxiv_source observed=2026-08-07T11:32:56.675482Z digest=sha256:5324a08096c351bc4ded4c878e435176cb0ff492284b2c087cab3ba1dd25ce1d

Observation 6e0f51af-416b-4456-b823-d4ba5c9a9287 · outbound

This paper cites Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Think-on-Graph 2.0: Deep and Faithful Large Language Model Reasoning with Knowledge-guided Retrieval Augmented Generation

Reference 24

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source=arxiv_source observed=2026-08-07T11:32:56.766660Z digest=sha256:2a1ec012214f717801f71232314ad3d14c7d8e4a443a9d1822726e9cf08d3041

Observation 8ad8738f-1f45-44db-9abc-ec0ec14a7692 · outbound

This paper cites Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Advancing Graph Representation Learning with Large Language Models: A Comprehensive Survey of Techniques

Reference 25

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source=arxiv_source observed=2026-08-07T11:32:56.867212Z digest=sha256:24295bed4632cbf8c550cf8a115ea2ddc8a9c3145c0d30904184e62ab67f2833

Observation 2d8a0bb8-88c4-48ff-8d7f-821394629c8f · outbound

This paper cites GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

Reference 26

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source=arxiv_source observed=2026-08-07T11:32:56.962723Z digest=sha256:bddd956dc9e520c60345594902ed49e432e720c6aa5ad4465254bbc9780ca41c

Observation 47cbe7f8-93d0-48a8-82ed-ba153745657c · outbound

This paper cites Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena

Reference 27

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source=arxiv_source observed=2026-08-07T11:32:57.059533Z digest=sha256:2b0f122ddfd1e92e1a24edad0553400d542a9b180c56a9248c74c0f748ae8566

Observation b7af43b2-414c-4807-b824-c2e0fc39eb76 · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-07T11:32:59.623817Z

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=2026-08-07T11:32:57.144290Z digest=sha256:c3d016956aa2706e9e9e63ffed5168e96bb49a1944cc71e4cb40dc8a5cc0d6af

Observation 17a02311-ed87-4df0-9c2a-064807af55a6 · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-07T11:32:59.462171Z

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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=2026-08-07T11:32:57.222758Z digest=sha256:6d978e39faee7319ffd5f4c73f3611b46d3f59fb6f7029faa7301c9f9be2defc

Observation fe55309b-691c-4aaa-9cdc-bbecfbdbb9a2 · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 30

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source=arxiv_source observed=2026-08-07T11:32:57.326923Z digest=sha256:1a3be769c7a58f6dcf9f59f00629a942fea502e1cc2a7228a8601c4dbef4f66c

Observation fccd81b5-05ca-46a9-8a9b-b711a6e58690 · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 31

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no resolver link, observed 2026-08-07T11:32:57.419209Z

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source=arxiv_source observed=2026-08-07T11:32:57.419209Z digest=sha256:1e413d7775af268c2403f686fe7512adf4342ff6d155c3a3cfe1a74cb1b95f65

Observation e5766c07-9398-489c-8eaf-f8b942b4eb8a · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 32

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raw_fallback, observed 2026-08-07T11:32:59.266916Z

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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=2026-08-07T11:32:57.493136Z digest=sha256:e96b0d538569c724584998dd42139ea0ad06e97f456e211ea0df51e576df8298

Observation e7acf201-f736-4041-a922-edb8f25666aa · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 33

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no resolver link, observed 2026-08-07T11:32:57.569543Z

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source=arxiv_source observed=2026-08-07T11:32:57.569543Z digest=sha256:bc6c7fe15fb22e71c630b4f4f46ed6ecc738ad644837272e937d043b9cc1c831

Observation 7bb18453-93df-4984-9bd6-332db3cc0780 · outbound

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

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Gemma 2: Improving Open Language Models at a Practical Size

Reference 34

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source=arxiv_source observed=2026-08-07T11:32:57.656322Z digest=sha256:97731519530427dbd9f7c2d3e672dd3f2867696297be6a153ea9cfb00bfc1ae1

Observation 9a2fc705-c816-4b3b-a936-e8e5d08780ed · outbound

This paper cites KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation KnowledGPT: Enhancing Large Language Models with Retrieval and Storage Access on Knowledge Bases

Reference 35

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unresolved
no resolver link, observed 2026-08-07T11:32:57.776949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:57.776949Z digest=sha256:3661e8c6ddc7ae11a29c8d964454c2f098abe10e53a791be044f05dab9936659

Observation f867dd62-f193-441d-8cfa-8233184f8077 · outbound

This paper cites an unresolved cited work.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:32:59.100341Z

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=2026-08-07T11:32:57.848895Z digest=sha256:843c548afe56ea02135384cab7be2637a83794a3aa87938a8f715641fd7e9a8f

Observation 8e5eaea8-3cec-4b11-aa09-8042adfb9792 · outbound

This paper cites Retrieval meets Long Context Large Language Models.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Retrieval meets Long Context Large Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:57.925313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:57.925313Z digest=sha256:adaca02df6c3ecc7be05867a8d17d8b808e50c1514100ee2754279cca18a4267

Observation 77646eb3-614b-4e27-bd7b-1a4c129ded61 · outbound

This paper cites SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:58.014399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:58.014399Z digest=sha256:184525a8c7a19365083b01b4c6e3222ac743765040b9b5af1d7a039b4293d537

Observation 88403d23-342c-4a13-936b-0b790fb6ea1c · outbound

This paper cites Corrective Retrieval Augmented Generation.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Corrective Retrieval Augmented Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:58.172855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:58.172855Z digest=sha256:4619c3fd7ae231cc09073ce5550488ea5e3b76dd231334d0c5590d9e58b319a4

Observation d06bcf3c-4a04-4f9a-867a-4c9ffa6150a7 · outbound

This paper cites Qwen2.5 Technical Report.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation Qwen2.5 Technical Report

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:58.300203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:58.300203Z digest=sha256:8ce50273b5e59610f3f15df96231921ccd3555cf26948bb4f34d7939758f9712

Observation 2d9ce98f-98e3-40d9-9dd0-1e4d5caa943a · outbound

This paper cites LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:58.377697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:58.377697Z digest=sha256:4103f184a80b1cddaf87b867bf62d0249520557897590afe420ba5f7a43aada8

Observation 1ce9e11e-11f1-4f79-8dcf-8d91411d3349 · outbound

This paper cites URL: " 'urlintro :=.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation URL: " 'urlintro :=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:58.457218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:58.457218Z digest=sha256:5beef5835e784913a1a2a0c03b8594de540c77b96c16fb89f014ba66ff74e1a6

Observation 1531fa0b-d6e7-4405-b9bc-35674b035aa5 · outbound

This paper cites write newline.

DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation write newline

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T11:32:58.508667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:32:58.508667Z digest=sha256:93d89f5a684ffc03d24ed5918b53f1ff501ee606c3643dd6630890ed189c4f70

Pith citing papers

No inbound Pith citation observations are available.