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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 19 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 2026-08-18T06:34:40.430872+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=sha256:643eb89283d88848dc6937c44fa8a81f994f83c4a1e6eb0858f4592027a4235e

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=sha256:0b1d4359703ae3fdf47967ec2ae3df7c5748637e9bec859e78bd5ef3836405f5

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:54.757872Z digest=sha256:82f260d31897cffef9ee71dd28ac3623a1c168bf1325fdcd46e13e1f824c9414

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:d06761a7104166577516c742c6b819f80a16cce0a849415123933ec989957eb0

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:54.992904Z digest=sha256:0b0f0ea9748f5259f8840d635d9f88ce28efc0731af8397cb228fb46c71cd5e5

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:55.112242Z digest=sha256:7a6c0a4eb8d1a5e7a183ebc0bd5cd3df27cf3756e7113eb091a10ac3661331f4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:55.239930Z digest=sha256:f47834c39a8fc4abf51fc6a358dcfd1dd5d119d72c071a562f57f41b6dfc8e91

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=sha256:3ec9e531df9464c56c8e0f3811f1d89eec87f368493c10cd2c2bbc5a19b1e97d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:55.482632Z digest=sha256:223f216df19849d26862729c7afce1813c5e5e625e08c9852524cc3becc379f2

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:c5dee9afa2d54424c618479c87ef8a6794624c059c04c103ffc474aaf837ca1a

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:cc515041b5fca2024daccbb5df075d170dc40ab367e501b13aee870e6bfe6421

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=sha256:56edc088df118fad42203fe51bf0463926fdc56e98a240e94f3451d375fff2fe

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=sha256:41b9b0f6e9d300fc4dc735384ac29ea44bf4aa593e5165673a269bbe7f1a7951

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=sha256:27dc8573a05cae5ddf5a7ade4950ca2277ad1508a7209504a0b6b71190521b9f

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:ea1851932ad75b8b6a4c029c15d5c9dc9a30c302baa330538d72ad2aa467d466

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=sha256:77ac11ecf96d624226c6b1dfbf2caad9b12d2ca1b7177b235b62c48b96d207e8

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=sha256:8358f22bba12408488d66901996074ad4018eba3eeb11feba3206981948bcd53

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:dcd21dc96fb89797b54b695391ebbc4f33834985a9f580bc2d99c0f134d7ecea

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=sha256:5fcf8ab416fb24955c2056c6a7044fccc1454062d8dc570d1325e6e89b7c15d3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:56.462208Z digest=sha256:16b3c485b451d44990872c2c1911633967e66590ae99dd1dab4ec11c607a9c9b

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:56.543751Z digest=sha256:4755059530ccb3030f593695387c3bfa313c44aae6a6d351dd1b1201329667e4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:56.609727Z digest=sha256:cdcd6f311c83ca951e8887bfe0576b411c040f83b59b063606bb75189f253d79

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=sha256:54a5c95a4752a78397abc767f26cd9d11112a10d134766b4e029355e539d7595

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=sha256:8be52978176cd171d8b6a3d161ad2ac46a12439b9246761b5555768b84313251

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=sha256:11ae238158588291d4e8f967f1a9b2676eca7eff0944b333129993afa3b9b865

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:afe4b39a4f444d5985236884643963298f66a6bddc7dc72912399d7560bd74f3

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:e03a3e4c1d78b85d91442a71d7b26cdae5c17e73cc3eb01ac2d9b616645b91ca

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:57.144290Z digest=sha256:741792f43a9d3f3758ee3d5e41e1545cdcfbcc3146bae64c73299a6685ee1132

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:57.222758Z digest=sha256:edaf096eae7d224c9dcb128a92e5493d0cb7b68684dab2753bcfeae358439f9f

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:fa2db308c25022a64d91bdf27691a33c10f11b4be433b7beb26cb76a111eca66

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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source=arxiv_source observed=2026-08-07T11:32:57.419209Z digest=sha256:c5825473f3a359f49ad75c0c7f4a8a06d466b2ed83dc1b5ab24e284049bd8b79

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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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:57.493136Z digest=sha256:256c781f9b2d8b04f2022ba4a5ae0310c113114a11e7051d786beb7cec83f42e

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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source=arxiv_source observed=2026-08-07T11:32:57.569543Z digest=sha256:4e215c3227400b14387fad751ca46b0b3415ddf55e5baaa5a51b83764d77e425

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=sha256:895f4e8e1c1b4f39be107c58ccfa3a215ed22e7b43b4ff88ad5e7aea67d0dddd

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:a465075dce69ca67e02a2ecd5f31839b6103a842a434dca3147eb36793c10bff

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T11:32:57.848895Z digest=sha256:d7bb731c5b47e8c47607e79f90a700823bbf594418dc10014387ed3479ac08aa

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=sha256:03349fe510166994714670120881add97ccee432950d2081444b5e61fb908a61

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:f36a5af5bd573b037b44eab06f70934709e1f6ceffefdef7a0df0e0764757f4a

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:a1a5a827dd98de58dbef7aa34b610f6657f24449354e4ddfdbddc94be9662ec5

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:ad245f79a1a08ed23a73030675b188a1dd9c083bae19e44d6afbcedf5a9fbc99

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=sha256:348a42df05da6e33b2fb998dc12386afe99aa75c19f5894445febfce314c3fa9

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=sha256:4332ba5aa703f6cdc460cef30da9398d9390755a750a068f13361ef8f6412062

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:ffb5fccd0c63e7ab0b03a24cebb5e6993f16230aee46609496438a1ff7c66f87

Pith citing papers

No inbound Pith citation observations are available.