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Paper Citation Record · LEDGER

SGIC: A Self-Guided Iterative Calibration Framework for RAG

As of 18 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 2026-08-18T06:34:40.430872+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

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=sha256:0ec9570fdd9b287e15a0a0e9e4f4c46b06467424e8fd27679cb2b64a741f6664

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=sha256:71e267567b06751a86c124057af2319124903eb3d4cc393f1bfc4f5d4cf06d76

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=sha256:66a34aae3dda112d380e1ec4a9973745daeba5a98b72e6e0d9f1ead6d2b25857

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=sha256:78ef29f5c148d7c99bd379554949df49a15ba7e1b0155238d356662ada479ec0

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=sha256:48c59fdd2c2c405fb4bb21ec6e051ca773e30a594d0d189bbb5eff7b89a4823d

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

source=arxiv_source observed=2026-08-06T23:52:41.713630Z digest=sha256:d21aaa9f4dca874fe18d65fac1bed80265483c316a482a53675bfac497330719

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=sha256:7d92dbe74a20804f8c27cebb16550a4cb4147dec941153bf75d1974dbe2b2a37

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:b2b7a32d500ef46f3625394828a7e25ccbccd30826f349a55afc528fead3c6d1

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=sha256:46dd7c52f1b11c9e90b097e22e2f10cbd3e84e5efd1d35e804e2cace3261e028

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=sha256:2aa98b6f5a98ae6cfc4b5682271a9fba3e0a1c3f20d4e9fd825524ef80626450

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=sha256:36fd673981f0cfdd99c5f4112a7978220b14e7577296c965b7764acf8d074d12

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:bd0db8d0b110b82768e7c4b6c471d9ec4ecc5cf563ff8f20af777c6ed1d09e34

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:c6be31fcd8379cbfdf0418a45caab908667070faa9f1da672d8e657b01a9aaa5

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:ef384ce1d3948ecb93510668349337c84c46a7a17332dbf179be5129ae6991fc

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:d453e0b3e4c0d2776a4e265f3620ea70b544c1df93fd1c6538ca29b3db6fd869

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=sha256:855c1500403d4729ec4991f3d438a3183d66251fee9e0e24d47fbf19c966f0ee

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=sha256:58161583dd1d476888a6615d6af204948645bc7ab93162919fb4d933adcffc53

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

source=arxiv_source observed=2026-08-06T23:52:42.433960Z digest=sha256:023dfccae07152806498e2cb0bc56da62157f4fd79a8fe4f3c0765b27682f545

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=sha256:3ed34fbd9492fe22e382cdcb07866993f88959ebd951c0ab22d93642c7c015d0

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=sha256:40861eb92d15a6da3ad2a7e25aeb4010de8f18c123b30010ac0d273d712293d6

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:a6851d359605d0baac324daba7e4449d8f80deda5a3ceb6b71217d78dc06eb93

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

source=arxiv_source observed=2026-08-06T23:52:42.779454Z digest=sha256:f6d0f3a2fe8ed549f646d4f0090c6bc8be7d6ea6d5a461a8c76eb7d0299029fd

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

source=arxiv_source observed=2026-08-06T23:52:42.870557Z digest=sha256:e1152ea8a9f1e618381421c71edebb2d19f9cedf683307ba3cd2495378bdcb88

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=sha256:2149e85b4264aa12c4b3eb36921d09eb1f2155e3ecab099fccaa5eb92530557f

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=sha256:86ddd97bc93192eaea8b4043df4ae4106e62eb94864be57cfaf01d63a992bb39

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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raw_fallback, observed 2026-08-06T23:52:47.365127Z

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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=2026-08-06T23:52:43.116206Z digest=sha256:564877cee7d9609d80db791162c15374363f8594679dc3bc20247042527826de

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:ea7d88baece66e890b14b38899c69d08b7a9dbae95a8333c45302e64801ee14d

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

source=arxiv_source observed=2026-08-06T23:52:43.282371Z digest=sha256:6f2eb6a2d5db88886a8d10295945d1fe375fdc27a0efbb674ce85bab04ee0711

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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source=arxiv_source observed=2026-08-06T23:52:43.360571Z digest=sha256:2faf955762831f73d45525fba32426f80a510b02fc93d43036716672595d1fbb

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=sha256:155ffae466eaa17a73358702760a55478ff25b0b64bd049e51d05e8be31b979e

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:fcb981706c93b31cf38c70c5d4d822e0932a9fd67f8a5607ed365cf8673b8339

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:d17ab8356d471c8512a32e6c1f5440c8d599ffd2a3654abe8224da59cdea8b1e

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:bdab22b50d00aa20c3a94b5685da77239ffa10773016bea523ab1afda63c36d2

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:ff6ee9549f38d9bdf6d2f89ca148f1860b9fbfedf4d21063466aeb154f900c11

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

source=arxiv_source observed=2026-08-06T23:52:43.852233Z digest=sha256:962595f78d056d0138713b57afec678b79d062fae569d047fff538b121888eb8

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=sha256:2774343764266f45fc46789b417fc7cb086be94576d6baaf890569445365dee2

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:52:44.054312Z digest=sha256:d2b82c6b5ad36d1613bdf2be2283e9c26e0dd05765549e3a82aaecbf029549d6

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

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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:c5cc19ccfb4d8c1ba0976e346676bf8f1baa3c499734b2f9d068b41717679890

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=sha256:9e7c59a4f8d78b09c4c27a81f928b3f57f34e4a680bdf9237ce6ca735b8e1018

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=sha256:4493be08620c11eaf7ef9004a01cb9232374a815b504dd2ce1ec52a95ac2eedd

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

source=arxiv_source observed=2026-08-06T23:52:44.479924Z digest=sha256:587d8b92181bcb0ab3bf87183618fa15007da7305597846cb74a6e4aba1c252a

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

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

source=arxiv_source observed=2026-08-06T23:52:44.542207Z digest=sha256:92c15100b1d8631d644f7e94e5e8c5ef1de5059be4568af6c585078543a9f32a

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=sha256:720271cefc0e6ba32adef7a745213406b252133f889bbfd6b8255438c03d2050

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:e5229ca2b43679974ddce6caccfa278fb222e442376f0fef273c7c1a5107faf9

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=sha256:001c573406aa02e68be201bb47ee6f33a280c01ca817017e7da96b923ca46353

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

source=arxiv_source observed=2026-08-06T23:52:44.924680Z digest=sha256:14a5104c08d8840eab9b9c7d17408dc536f94eb4d2961e6460ec5d7df891dcde

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

source=arxiv_source observed=2026-08-06T23:52:45.011974Z digest=sha256:f544a49ec98fd4f640b908f2b6c618be9132f073102461a56d569842902ea670

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:a53243e7a8c0f43c12c27563832dcdc5ff765e1f0652ebc8198b7c73dc506434

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

source=arxiv_source observed=2026-08-06T23:52:45.223286Z digest=sha256:2081b05d29e97a2928882a165b89009c16523eb342bb0c5e898167f631b6429e

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=sha256:1f730d8b82acca5c8f01b6eb010bfe533e4dc2ff4199076e1a88595966ce8c89

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=sha256:8b87bbb7a21e13c8137099bb9b5c2730eb85db14f9d4158a656fada61eabfe25

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

Resolution
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=sha256:7f988c8f8b2505091f2819cb2351b1f97f85285748f620a41d9653bd9fd43308

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

Resolution
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=sha256:108a5ed3f0c989c08098d6add2bc49f8eea209187bf2c1b91686e3abb5e51f23

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

Resolution
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:f7a8ab9454a5fa56ec9fc9196c791a9e08c303805e5da049ac2b751fcdd1a18f

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:e919c6aee52c0e16637d45ebca1fa48a93810681ec574b988871e299d15b5af5

Pith citing papers

No inbound Pith citation observations are available.