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Paper Citation Record · LEDGER

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction

As of 18 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2504.17671.

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

pith.paper-citation-record.v1
2504.17671 v3

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:39:35.840945Z

measured 14 of 14 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

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ed70cd87-7350-4a6e-a124-c61bc9af495e · outbound

This paper cites PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction PRISM: Self-Pruning Intrinsic Selection Method for Training-Free Multimodal Data Selection

Reference 1

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no resolver link, observed 2026-08-16T10:39:35.787142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c4713591-a4ae-4560-b8de-25956d29ae11 · outbound

This paper cites VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction VL-Uncertainty: Detecting Hallucination in Large Vision-Language Model via Uncertainty Estimation

Reference 4

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unresolved
no resolver link, observed 2026-08-16T10:39:35.800409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:35.800409Z digest=sha256:070fe0ae5af3279052e5938387e99774a6ef8c4dfea8573d8c9c842b72faa225

Observation 4541d052-7328-4709-a219-69801d7f493b · outbound

This paper cites The lighthouse of language: Enhancing llm agents via critique-guided improvement.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction The lighthouse of language: Enhancing llm agents via critique-guided improvement

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T10:39:35.810229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7113abbc-4fef-4376-b929-14b666381481 · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction Evaluating Object Hallucination in Large Vision-Language Models

Reference 8

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unresolved
no resolver link, observed 2026-08-16T10:39:35.818575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:35.818575Z digest=sha256:794dc183fa4932ebdb3030428030bcb6fb3c225e834cf3918d8992e2d07014b7

Observation a57d53f3-1c4f-4d1c-a6f7-4a1e20329efe · outbound

This paper cites Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction Correctness Coverage Evaluation for Medical Multiple-Choice Question Answering Based on the Enhanced Conformal Prediction Framework

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-16T10:39:35.924801Z

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=pdf_text observed=2026-08-16T10:39:35.821965Z digest=sha256:2c9defe1dfd9c77f174435c2cc124f0e1ae960c6e476f2555ded5a996b134ed0

Observation 1f5e3ec3-f6f4-402f-9d05-180df33a9eab · outbound

This paper cites Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T10:39:35.825449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:35.825449Z digest=sha256:d0149f988f2faa2416cffaee81c6a558dd99858bab130495dbb2e5e03ca80dfa

Observation 348c8380-25e7-45d8-8386-91caf387d2d9 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 11

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unresolved
no resolver link, observed 2026-08-16T10:39:35.829194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:35.829194Z digest=sha256:a936d1d2cd7310a38784c6cbf252be38fcb13b81dbebfb9b64bc9307bd9bd536

Observation 4c35d100-4e65-4624-9e18-8068c33dc66c · outbound

This paper cites LoGU: Long-form Generation with Uncertainty Expressions.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction LoGU: Long-form Generation with Uncertainty Expressions

Reference 12

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unresolved
no resolver link, observed 2026-08-16T10:39:35.832859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:35.832859Z digest=sha256:e845830e028a95248be62ac802285a69e5c2fb46d43d7fd3af16d98c2cec42bc

Observation 055abf91-c527-49b0-97a7-f3bd3bc60223 · outbound

This paper cites Conu: Conformal uncertainty in large language models with correctness coverage guarantees.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction Conu: Conformal uncertainty in large language models with correctness coverage guarantees

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:39:36.139702Z

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=pdf_text observed=2026-08-16T10:39:35.836707Z digest=sha256:ac4be021bceedc4860d1fec113d8510f883e9e0daa151db126ae78044d9b25a6

Observation 93a42237-22ef-4e76-a038-2d4bf539c082 · outbound

This paper cites SConU: Selective Conformal Uncertainty in Large Language Models.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction SConU: Selective Conformal Uncertainty in Large Language Models

Reference 14

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unresolved
no resolver link, observed 2026-08-16T10:39:35.840945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:35.840945Z digest=sha256:3f95d66748007e25323fab497b29097aeb0248c94457d07c794d9c63107d9f78

Observation 710a1113-14b9-4804-a543-092724639d85 · outbound

This paper cites A Survey of Hallucination in Large Foundation Models.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction A Survey of Hallucination in Large Foundation Models

Reference 2018

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no resolver link, observed 2026-08-16T10:39:35.813994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d517609d-aa0a-44b4-9e29-c2fefe382c9b · outbound

This paper cites SPOT! Revisiting Video-Language Models for Event Understanding.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction SPOT! Revisiting Video-Language Models for Event Understanding

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-16T10:39:35.805366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:35.805366Z digest=sha256:04bb9b40b5a98d76857f4d7055fad57b1159acdac3d3e4407146a8daeb5b83a7

Observation 0006cd5a-f01a-42fd-b7d9-4c1fca915a6c · outbound

This paper cites Uncertainty-Aware Evaluation for Vision-Language Models.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction Uncertainty-Aware Evaluation for Vision-Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T10:39:35.796409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:35.796409Z digest=sha256:f6435e56358bb0434c6fdd42c2c2bb904ad22ebe7401bb0c835cd1e52566f592

Observation 64121254-313d-41a4-8f1e-495e57166524 · outbound

This paper cites LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering.

Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal Prediction LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-Steering

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-16T10:39:35.791572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:39:35.791572Z digest=sha256:f0b4b437c20418609147384972f1ea8639f9244423c933e347244f1ca8f9baff

Pith citing papers

No inbound Pith citation observations are available.