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Paper Citation Record · LEDGER

SGIC: A Self-Guided Iterative Calibration Framework for RAG

As of 7 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2506.16172.

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

pith.paper-citation-record.v1
2506.16172 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:52:45.675904Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

55 of 55 outbound references displayed

  • verified exact6
  • verified fuzzy2
  • unresolved47
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33f07053-ba2d-4be5-aa74-0aa18681fea5 · outbound

This paper cites GPT-4 Technical Report.

SGIC: A Self-Guided Iterative Calibration Framework for RAG GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:40.965864Z digest=sha256:d1ecbe0bc92b0d1ab1c3af66b4967e1af0a49a802430710fc5b447ab10aafbcf

Observation d058e917-99fb-4147-a0fb-f5940a049c4d · outbound

This paper cites RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs.

SGIC: A Self-Guided Iterative Calibration Framework for RAG RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs

Reference 2

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source=arxiv_source observed=2026-08-06T23:52:41.468043Z digest=sha256:b1cffb48696f76633e25115b879c5fcd6b3bacb92eb16dfa60cb794ac25f491b

Observation 48aa72ad-c3e7-45bb-b814-f1f080e3604a · outbound

This paper cites Task-aware Retrieval with Instructions.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Task-aware Retrieval with Instructions

Reference 3

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source=arxiv_source observed=2026-08-06T23:52:41.518099Z digest=sha256:9b3daf906abe15a21c75a15ed1e996c293d6cb871dbf757b6f1b8c3a72a91637

Observation 7f601504-2b8f-497b-ac87-fabb90d260b3 · outbound

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

SGIC: A Self-Guided Iterative Calibration Framework for RAG Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 4

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source=arxiv_source observed=2026-08-06T23:52:41.563619Z digest=sha256:82104eadbd131e348ff605d084d2f888f4342c576fd1d8bd48be956bc2fd8c5e

Observation 117f59d9-e314-4134-9b4a-307ecc0a6904 · outbound

This paper cites Not All LoRA Parameters Are Essential: Insights on Inference Necessity.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Not All LoRA Parameters Are Essential: Insights on Inference Necessity

Reference 5

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source=arxiv_source observed=2026-08-06T23:52:41.656028Z digest=sha256:f3900361f82ab87907821dc5e1630e36cf2886c7b3ccfac8a8efab1cb58d9303

Observation da2dae14-4730-4b02-bd68-8f441fd509cf · outbound

This paper cites an unresolved cited work.

SGIC: A Self-Guided Iterative Calibration Framework for RAG 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 2026-08-07T06:34:17.273281+00:00.

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Observation b12336a6-c2a3-4f0f-852c-5bc7b8deb706 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Training Verifiers to Solve Math Word Problems

Reference 7

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source=arxiv_source observed=2026-08-06T23:52:41.794996Z digest=sha256:1d7a548be6d1d89046acd25eac062a89c736479cea786226a113b183ff03c429

Observation ac6763d9-bd56-4170-828d-624d64af569d · outbound

This paper cites Chain-of-Verification Reduces Hallucination in Large Language Models.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Chain-of-Verification Reduces Hallucination in Large Language Models

Reference 8

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source=arxiv_source observed=2026-08-06T23:52:41.865506Z digest=sha256:dba1b31f3b0536af9f7a791c98d206598406bc1067f27906f13370e809b2a792

Observation 56b691eb-73c7-4d42-95c2-1eec83a2f6aa · outbound

This paper cites Improving Factuality and Reasoning in Language Models through Multiagent Debate.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Improving Factuality and Reasoning in Language Models through Multiagent Debate

Reference 9

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source=arxiv_source observed=2026-08-06T23:52:41.925702Z digest=sha256:699e9e3363356e9d8c42e29f8924393f98dae073a865a61932f303eac970402c

Observation f5cda03c-d888-428c-b557-5ec20b3f9530 · outbound

This paper cites an unresolved cited work.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Unresolved cited work

Reference 10

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source=arxiv_source observed=2026-08-06T23:52:41.996747Z digest=sha256:b753b3932f31e8df9cb30a6e35427ec8466a3d6930f542a5093fac706364b9a8

Observation 9c66f828-54b4-4c5a-a14c-57f87c4b893b · outbound

This paper cites Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 11

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source=arxiv_source observed=2026-08-06T23:52:42.029563Z digest=sha256:d4336a48bdf0ca6d48b1a51cfa023008266b6db3788f2e475d894344b48a3d0f

Observation 6512bad9-12dd-410c-86c3-6cb111de737b · outbound

This paper cites an unresolved cited work.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Unresolved cited work

Reference 12

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source=arxiv_source observed=2026-08-06T23:52:42.076477Z digest=sha256:252cc931a3e8740e1c2e10129a77e24c41ff7dea5b2c1eb204b8dd31b3de88c2

Observation d5a0e9ac-c12b-4e6b-8323-6fcf137482cd · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

SGIC: A Self-Guided Iterative Calibration Framework for RAG LoRA: Low-Rank Adaptation of Large Language Models

Reference 13

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source=arxiv_source observed=2026-08-06T23:52:42.146619Z digest=sha256:9838b094801d75af2417edbbba675388b350d115b1aed077044c880db825e34d

Observation 112c38c0-257f-49ed-a4e7-13ed2a14dae7 · outbound

This paper cites an unresolved cited work.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-06T23:52:42.186826Z digest=sha256:0c750bc29de6b6fccdf55d76ee4bed39002dc6e258a8d7bf5a8591a8d225592a

Observation fb73400d-cc75-4a43-9d02-1bb8528b2b96 · outbound

This paper cites GPT-4o System Card.

SGIC: A Self-Guided Iterative Calibration Framework for RAG GPT-4o System Card

Reference 15

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source=arxiv_source observed=2026-08-06T23:52:42.263939Z digest=sha256:21febdd0b401855aad655cb4ae6917338befd75d37c4212a0df7f3583c1df4c6

Observation 49a090ae-2537-445d-8ba0-730931399c33 · outbound

This paper cites Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Reference 16

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source=arxiv_source observed=2026-08-06T23:52:42.333721Z digest=sha256:152ed1db1d98b9207a76b812f91fbbb199c414837c89b9f0923715be6b0a3027

Observation 46955fae-0d90-4c3b-b18b-5f27d16a3627 · outbound

This paper cites Active Retrieval Augmented Generation.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Active Retrieval Augmented Generation

Reference 17

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source=arxiv_source observed=2026-08-06T23:52:42.394219Z digest=sha256:53fcd4964de888950de2e0ef15b13a08941a39f35006b39efeaba727e7085dab

Observation 5d268050-5233-46aa-be5c-cb36bc964988 · outbound

This paper cites an unresolved cited work.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:42.433960Z digest=sha256:908c7de45bc402972dea219d2f6634adadeb5d1651610f0fbd1e3edea182bfc7

Observation c114fc5b-693e-4aeb-913e-700b40081946 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 19

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source=arxiv_source observed=2026-08-06T23:52:42.566119Z digest=sha256:97f2f30135fa82b43e8f399e5ffb2b4bca092c5f0225943a0c8970c9ae0e551a

Observation 49eadf59-52ed-4362-bf80-4b5aa0a16717 · outbound

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

SGIC: A Self-Guided Iterative Calibration Framework for RAG u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 20

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source=arxiv_source observed=2026-08-06T23:52:42.631852Z digest=sha256:7df20024b3140969599c2385d4f834d7837023cc717c045518802d085f40c18f

Observation 21c751dd-33c5-4377-a1e2-30a38d9b585a · outbound

This paper cites Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Can LLMs Speak For Diverse People? Tuning LLMs via Debate to Generate Controllable Controversial Statements

Reference 21

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source=arxiv_source observed=2026-08-06T23:52:42.732053Z digest=sha256:d99b05efff843821ae910b2f859bd0423e144727eecb6f445fd15c1b5ac4f44a

Observation 2bf72e16-36cc-4273-8d25-ae7b01e36387 · outbound

This paper cites Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection

Reference 22

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verified exact
local_arxiv, observed 2026-08-06T23:52:47.001627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:42.779454Z digest=sha256:acebfd8c6478131157298a56189d0dda63b417273ee2f341dcd7f273eb66f2e3

Observation 65aa19be-7345-4fdd-87bc-0c8392a5437e · outbound

This paper cites Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization

Reference 23

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local_arxiv, observed 2026-08-06T23:52:46.772655Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:42.870557Z digest=sha256:7ab79ea7ce1f9a160f0753bca0f1508541fb4461a33130f0db647486414be47f

Observation 0ef452c5-51c3-4b90-9f24-b966abf990a8 · outbound

This paper cites Textbooks Are All You Need II: phi-1.5 technical report.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Textbooks Are All You Need II: phi-1.5 technical report

Reference 24

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source=arxiv_source observed=2026-08-06T23:52:42.955966Z digest=sha256:7a99dec5aa78ca24678e43e3366ecaa83cb566961931477ede74e3411c7f5bf4

Observation 274638dc-cad0-459c-aab1-331c2db84732 · outbound

This paper cites Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Debatrix: Multi-dimensional Debate Judge with Iterative Chronological Analysis Based on LLM

Reference 25

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source=arxiv_source observed=2026-08-06T23:52:43.039428Z digest=sha256:99a815c97c1ec1ca6c477040d97fdcc42c8cba0adf99233f8852ae7dfd0402cd

Observation 48dd6df7-62cb-4c4b-b8dd-24236728eac7 · outbound

This paper cites Wong, Dongfang Li, Ziyi Wang, Baotian Hu, and Min Zhang.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Wong, Dongfang Li, Ziyi Wang, Baotian Hu, and Min Zhang

Reference 26

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:43.116206Z digest=sha256:269be15f06bde057d63f683512cff4544daf554be0c1186682080bac032765f2

Observation 83d4462d-69a5-474f-9579-95751120c7ee · outbound

This paper cites Lost in the Middle: How Language Models Use Long Contexts.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Lost in the Middle: How Language Models Use Long Contexts

Reference 27

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source=arxiv_source observed=2026-08-06T23:52:43.181994Z digest=sha256:42a0fa3596c9993173281f20788480bf55ed1ab3cf273c5ddd2a7f7ac74ae85a

Observation df18b2b7-c352-417e-a911-ce2a2d2a516d · outbound

This paper cites Wong, Lidia S.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Wong, Lidia S

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T23:52:47.348741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:43.282371Z digest=sha256:63d60f9fc85b23ce924131e8ff84e219a0396ce60c0ecc6136d537b22587d524

Observation 2fb34165-8a1e-4af2-b5f0-5f1fa6794fd6 · outbound

This paper cites Query Rewriting for Retrieval-Augmented Large Language Models.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Query Rewriting for Retrieval-Augmented Large Language Models

Reference 29

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Observation 075700f8-e48b-4517-9063-4a5ee0e8ff51 · outbound

This paper cites Zero-Shot Listwise Document Reranking with a Large Language Model.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Zero-Shot Listwise Document Reranking with a Large Language Model

Reference 30

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source=arxiv_source observed=2026-08-06T23:52:43.425081Z digest=sha256:89ac4aeeb2e0d95b6468ffbe2877dddee4cb9512ea58532bb661aaa0ccac1b7b

Observation 6815ca17-8282-4aba-83ad-98c880cc7d3a · outbound

This paper cites Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

Reference 31

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source=arxiv_source observed=2026-08-06T23:52:43.523006Z digest=sha256:ce54d5368157dd82123fe4b0ba6fd49cd370d3e801f5f512ccd1286a146b4465

Observation 606ae784-bb81-46d8-8a58-3aeaac6351dc · outbound

This paper cites Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies

Reference 32

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source=arxiv_source observed=2026-08-06T23:52:43.627879Z digest=sha256:4ad57a30093e102fc68bb703e444651c6b645138620fa30504ad524ec7e2d210

Observation d6c8b374-7c1c-4301-babe-badbccb56ccf · outbound

This paper cites Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback

Reference 33

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source=arxiv_source observed=2026-08-06T23:52:43.702950Z digest=sha256:a7ef72a49d0fae2677ab0895d0b07a8bb9ef4af1a8f09cb29bc7b4ed0bdf103d

Observation 3c10e5fe-30f0-40de-8e81-b76f85d951ef · outbound

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

SGIC: A Self-Guided Iterative Calibration Framework for RAG Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 34

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source=arxiv_source observed=2026-08-06T23:52:43.783274Z digest=sha256:c5b018f33801831ac3452498f0ded8c0b042e4dc647e3ee6110c939ddcdd3cb7

Observation f329c6c7-bf41-4286-9978-b47d6f9c8126 · outbound

This paper cites an unresolved cited work.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-06T23:52:47.332614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:43.852233Z digest=sha256:a3a77e0015f02c403c32b10d682622baa9c312a0adf8f14bdc3b254f97e81c31

Observation 7516b8ea-dfc4-4f15-af3e-9d014a9e84d3 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 36

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source=arxiv_source observed=2026-08-06T23:52:43.959757Z digest=sha256:b7a7971d6d79c29f572768988ef9f61ef954873c03d4f8f77331088a892376bf

Observation ef73a474-d0f9-4840-9d13-4612bdeff472 · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 37

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no resolver link, observed 2026-08-06T23:52:44.054312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:44.054312Z digest=sha256:e07a1a16401a7030bb1936331ae4b98ef7bb0efeeaac307a29c5ae073bb1f9a2

Observation be3da126-102e-49c9-9942-e8b6315824fb · outbound

This paper cites Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:44.151094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:44.151094Z digest=sha256:234573e2a5e750bfde319afc0ad809d6a1a4fb7e9476dd46423c289fc7b70b68

Observation 1dacb724-10be-4929-b607-1ddb07a1ad6c · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 39

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unresolved
no resolver link, observed 2026-08-06T23:52:44.248832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:44.248832Z digest=sha256:b440f863b3f41f0b843d2501a72cc490f5a54798e0f10fc9ce8a03dcdfd39733

Observation 522ba3f1-5718-4334-b21b-4d8fca1522f3 · outbound

This paper cites Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Reference 40

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unresolved
no resolver link, observed 2026-08-06T23:52:44.339530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:44.339530Z digest=sha256:71ebc253825e10b5308a09ccdaaddf09867ea807e746cc05f9f403ce1a68332d

Observation bd6e79b5-8a6b-478e-9701-eecd4662d222 · outbound

This paper cites BERTTune: Fine-Tuning Neural Machine Translation with BERTScore.

SGIC: A Self-Guided Iterative Calibration Framework for RAG BERTTune: Fine-Tuning Neural Machine Translation with BERTScore

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:52:46.438428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:44.479924Z digest=sha256:b336ef441f8f90fb07a5c0c8d7a454cf48a7e24d2dad70277d0ed9399d8ce730

Observation 7838c26e-65bf-4e91-80d2-723d810af4a0 · outbound

This paper cites an unresolved cited work.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Unresolved cited work

Reference 42

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verified exact
doi, observed 2026-08-06T23:52:45.839383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:44.542207Z digest=sha256:72dc821caa7c0c1b1d267baefb4a660d4825a8152ec8fb025f701fa29fb3f7a5

Observation 2a414271-ed7f-47a6-85cf-cae4fb413d9f · outbound

This paper cites Query2doc: Query Expansion with Large Language Models.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Query2doc: Query Expansion with Large Language Models

Reference 43

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unresolved
no resolver link, observed 2026-08-06T23:52:44.631268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:44.631268Z digest=sha256:28d8adde1acd5c460fd0499ad7eeb60f8e27a910bdea897bd5822a0787a129b3

Observation 1006698c-192f-40c3-8bab-99211d67d239 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:44.708267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:44.708267Z digest=sha256:ce18e788e3af294f92d8ccae78953f2b89f9d8422fa9372efff9b6b26bf4c6b6

Observation d4dfea6f-0680-45c3-ab57-1e37c587dd3d · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:44.810591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:44.810591Z digest=sha256:7f5496619cc92101c8bdd34c356fda05a67b1e8d509a0cd610898439c2e446aa

Observation 0f6a22ec-ba98-4408-9079-cfa578718725 · outbound

This paper cites an unresolved cited work.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-06T23:52:47.316968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:44.924680Z digest=sha256:bd16e209c5a72ca3f15dfb0149454804bc958bbae963a212d6b83246715064f0

Observation cb11dea3-d001-4985-91e2-4cf9c3c5c681 · outbound

This paper cites Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Learning to Simulate Natural Language Feedback for Interactive Semantic Parsing

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:52:46.205800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:45.011974Z digest=sha256:ef99eb77a669d8ef4614283457cb32ce102e074a1dcaef4ea14cc89173c24c33

Observation 42bd6cd3-5bd2-47d8-ace6-81dd397323d4 · outbound

This paper cites an unresolved cited work.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Unresolved cited work

Reference 48

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unresolved
no resolver link, observed 2026-08-06T23:52:45.151800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:45.151800Z digest=sha256:674e00f7474c87754cc4ecf73a5ad8bd4a19b15c33bb1c04074730941ae2450c

Observation aab352c6-1b44-46d5-9b5e-2e9415fe5ea2 · outbound

This paper cites Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:52:46.041890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:45.223286Z digest=sha256:dc79a1566b22d1c3aa68bcfc953cb14cea989d7b0ed531d12f4124367a8752b2

Observation 0bc53246-fe67-4459-924e-803b6a9ae19d · outbound

This paper cites an unresolved cited work.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Unresolved cited work

Reference 50

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unresolved
no resolver link, observed 2026-08-06T23:52:45.329002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:45.329002Z digest=sha256:476bb7672d7ca9ca94f58894dbcec3c60b039223f6527b92478b20cb4fabc6d0

Observation 1e280e15-2085-4b0a-9ef7-c27432a43164 · outbound

This paper cites RAFT: Adapting Language Model to Domain Specific RAG.

SGIC: A Self-Guided Iterative Calibration Framework for RAG RAFT: Adapting Language Model to Domain Specific RAG

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T23:52:45.397782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:45.397782Z digest=sha256:cb9a03f62070766debc3a8a0929b4d761d2e00f4be706bfa5d687ccff1d46ded

Observation 664dd7a4-98c5-4940-a3fe-397a44ce1148 · outbound

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

SGIC: A Self-Guided Iterative Calibration Framework for RAG Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 52

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unresolved
no resolver link, observed 2026-08-06T23:52:45.473333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:45.473333Z digest=sha256:5fff99ef1e0d2b52f33edd5384bcc92e4b93577743af8de95867cee68a37116d

Observation 6739c496-9f46-49da-b987-058f959e858a · outbound

This paper cites Large Language Models are Built-in Autoregressive Search Engines.

SGIC: A Self-Guided Iterative Calibration Framework for RAG Large Language Models are Built-in Autoregressive Search Engines

Reference 53

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unresolved
no resolver link, observed 2026-08-06T23:52:45.533343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:45.533343Z digest=sha256:92cacb1eb1e21deb0f438f9f9c3d2d96b17ea7e268e12103f89b521086ed78d7

Observation c1b02639-ff5b-4804-9a90-94c585403e46 · outbound

This paper cites online" 'onlinestring :=.

SGIC: A Self-Guided Iterative Calibration Framework for RAG online" 'onlinestring :=

Reference 54

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unresolved
no resolver link, observed 2026-08-06T23:52:45.598678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:45.598678Z digest=sha256:24d62ee7dcaea73f668d48945f652e6686357d0aa584748611d2fa4049010147

Observation a05b9799-048b-4b96-872b-115dde921d5a · outbound

This paper cites write newline.

SGIC: A Self-Guided Iterative Calibration Framework for RAG write newline

Reference 55

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unresolved
no resolver link, observed 2026-08-06T23:52:45.675904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:45.675904Z digest=sha256:52cf1f8a6ab40431c1b0150c006183920fbe0d8837dce2fa1d092c9134d7fb63

Pith citing papers

No inbound Pith citation observations are available.