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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

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source=arxiv_source observed=2026-08-06T23:52:40.965864Z digest=sha256:4e1bb8181218ad6d4c7d1ef386d72487ff0160cd5684eb1ac20f603249f465eb

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=sha256:2cb9eb3dd0647e7377a79ab7a3abe74a9eeaa4f72ed9656fc4877090c2878ca2

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:e105d88d35a343eb325f8c783cab0af4a7722a2eb95479fb78ce02e34fe4b6f3

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=sha256:6378f9a8ebe483266e89c5ced51a493876c32dc56020a5f24efedfe3748ce7c9

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:ef81c7043f6d358d5985663b6056112c5f2697088370354def4aae8987ea92f7

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.

source=arxiv_source observed=2026-08-06T23:52:41.713630Z digest=sha256:cf2b3ad73faa0c68a516755eb1403e7e1ffa84d274b022b09514fd8fd3380f05

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:d4149279ca4535fcefbd4bcc70cc9f866da8391b73e26fb4ccaf3267bd03d762

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=sha256:5d60ea273420b61ce3982a49a1dda49c3d13523fec6a7273f9220d1722154d3c

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=sha256:2180ad2a709990c875c8f9eb07c6b93b37fca79ed912260c54f4d99d0a9bcc35

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=sha256:1bbef3a01ed7e7c9d29b1f0b9b584f2b126ba622665661b190e0d832b4af0a5c

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=sha256:32ebac8b8ed77104dd22fc9498351aac04a6e66c0106cbd7f656088da21fa2f0

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:b46913732fa0ffa98499f8628bf6a790a01ab46a939827de210eb344351ec919

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=sha256:2d5a6ef08ae46a0884c9f9f82bfbef3c653c8a1af63673f72b6b774bd714d9f7

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=sha256:7eea83f46a3782a0239022bc697878a76030b6e8212e1881be4289f60da47c45

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:a028289809950c5cfa8bb7a95d3a21f076b10d3bab5ce989ae07567e99ad1781

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=sha256:4c2944fdeab33b6ca323e32e0771204f2708fdac60189c6e426cbd6db379a7ee

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=sha256:0e38c56fbdc139a5b2dc3ec8e8cdbeee1282d86da0e769d0582441c35587ab5f

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=sha256:9bed6158d44bd18333a60869fef2cbac2dfd6142432e10d90f8795feb71ac837

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:e869d1d749b944cb63ea08428aee9a7cbc930b852af66e29c102ee51aff18260

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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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:eb79056298cbb6543ae26503b0ea659080db7bf2cc665bfd3010bf5991c100a8

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:42.779454Z digest=sha256:834a29a878ba190070de0a59d1fe00f61f8fa002cf2f3457d115022ee7bda7d2

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=sha256:7f0c764960a7f718bb7f70dd97c7a16c404206b0a849b1677a28da45b2bc0df5

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:cdbf2f095841a00cd504be737d8089b1611d664e292065bb4da13383161969ba

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=sha256:4e84146486a988412ba153a89547777779ebe683b254909ce9d6336b78c8f283

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T23:52:43.116206Z digest=sha256:a42dd03e1acfdc0b9d8bbdef6fe56fee2fde5c685cf40998131dfa7593595dea

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=sha256:7e44e0b4de03a517b885c1644b1a5aa54ec2128217b15ec44af75722a676941e

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:e7d58c4000f91a9c058f829cc7b60ac91058b6786ab846f4b5c600e6e923702b

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=sha256:6eed9973c0b5d2d29ff5329555ae0f3a6007d098a06fe069cb756646ed28d262

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=sha256:4e786e64caaa8a245a50657e8a717f8f8031455f3ebb2eb5c67c0964ab529704

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=sha256:17a6931bdf7c52aa22e538893e3fb0c34739d4be3b0d3c2d9cf056c0b12f4d1f

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:cd80998af56cef9bb57ad440469203b8c05e27a070ea13a9313efb3a0c8d4fbc

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=sha256:3ac9cd0bb7a30bd3c14d93b4030b79bef85c82bc0fe7e25d3d37ba79617ebd59

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=sha256:3782130f250fdb760929e6950e66d2206eba12476fa56ac96255d44fcb5a8e51

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:e3d346e304c56cb38e012e6ae7afc88b48f71ae931cb80f468f695c29b685134

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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unresolved
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=sha256:100e9ce464b3efb8aff87c9bf74b2587c70d16c88cc91ad566a9017601d28cc4

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=sha256:086c230fe9cb39fba39dce8467b3a3af87c020442a21b44e6be8206c15cc38a9

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

Resolution
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:d4b8acac4d43a2278665576d9b8002ce47c582daa453b06cf02d8f67817de103

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:f5524770f3a5d85e9b2a3dd86368487390281ad8ec0d1631b9c0458168a48f9b

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=sha256:713d1b18117375bbdba84b1a35b0ee487b4950f192aa32febc60d9dee68d8a11

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=sha256:6991b535d84ef7cd6416fc5b5fca2df096995590102b7d9526def249be7bafe1

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:f2c65b7d43572b2ad5a8fbc27295e0e575a91b8fd7d03f3e2e89a67af61a8c69

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=sha256:6a76b345767defb78037638eb4219757e0f3c028baeed6c96a9ebab41efc4540

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:a4813a76f0f3dc10699063b1d710c2271ebf4bf6b2c4678c2514ab0cda18c5fa

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:d73e72233063b876f93e10aca88d6506193558db5244622b640e544056cbf58d

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=sha256:06dd1c71aa3e0be1dc950004e591ae81f08df35d5ea4dd2047c9931e49a839f0

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=sha256:297746f98dc268c33b8b852cf6fa59ab1f8b433a00d7d4ac5e52abf1abe44bba

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:c9207cacb438f24db7832ee9007c05043f44a67b292535ef7b18bc4f901407b4

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=sha256:5f3b29ec5a786c7a204637ca6d6b4cdd298c69418fca760e6eab5c4cbba1e301

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=sha256:42379ea48fdda780824a24b5f02e37822a8f19d0f1cc9a338268564405cb778e

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:d839f256d8fe4d5baa94d16500b1bb4d056f14f75dac114690db7cb924b893c2

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=sha256:5ebd77c02ed44625773192ff7b0f87dfd4c7d2b081c47a0a202b697cec06ca85

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:ef35c9fb60ed5ec7a7a394c4f467b434c0678bb9705c1db6c909c3840b22b0bc

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=sha256:35eca1619fc5513d943fb7e3eac7d69b66882965dfee739d5763960cacb4a390

Pith citing papers

No inbound Pith citation observations are available.