Paper Citation Record · LEDGER

Calibrated Self-Rewarding Vision Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2405.14622.

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

pith.paper-citation-record.v1
2405.14622 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:22:59.621880Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 533e71e3-69fd-4b2c-a220-02bd5293ab99 · inbound

ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning cites this paper.

ASPO: Adaptive Sentence-Level Preference Optimization for Fine-Grained Multimodal Reasoning Calibrated Self-Rewarding Vision Language Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:22:59.621880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd3c1c48-e6cf-449b-ae98-f87ccad78703 · inbound

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models cites this paper.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models Calibrated Self-Rewarding Vision Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:08.553405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b0bfa54-3836-4346-87d3-2f71914718e7 · inbound

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models cites this paper.

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models Calibrated Self-Rewarding Vision Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T12:00:49.037510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 689686d6-4939-47c3-a39c-cfdbe7056327 · inbound

LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs cites this paper.

LeanPO: Lean Preference Optimization for Likelihood Alignment in Video-LLMs Calibrated Self-Rewarding Vision Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:28:49.151530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96adb74f-d8ab-44ad-b1ff-04424077e1d4 · inbound

Mitigating Object Hallucination via Robust Local Perception Search cites this paper.

Mitigating Object Hallucination via Robust Local Perception Search Calibrated Self-Rewarding Vision Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T05:54:04.468873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 833b404f-7f94-40e2-aa27-34de5a8f59f4 · inbound

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs cites this paper.

ViCrit: A Verifiable Reinforcement Learning Proxy Task for Visual Perception in VLMs Calibrated Self-Rewarding Vision Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-07T04:40:13.423620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78dd73f-5a7f-462e-bac7-f4792db5b05d · inbound

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning cites this paper.

Dual-Stage Value-Guided Inference with Margin-Based Reward Adjustment for Fast and Faithful VLM Captioning Calibrated Self-Rewarding Vision Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T23:57:22.557555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 064b4759-aea7-4fb9-ab43-37bc3456dccd · inbound

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought cites this paper.

From Answers to Rationales: Self-Aligning Multimodal Reasoning with Answer-Oriented Chain-of-Thought Calibrated Self-Rewarding Vision Language Models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T21:19:37.631397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6aaca34-97a0-4a9e-a37e-973914438421 · inbound

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models cites this paper.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Calibrated Self-Rewarding Vision Language Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-06T18:09:12.392099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cee639af-b059-46b5-a330-3c58a5c54f4c · inbound

GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? cites this paper.

GLIMPSE: Do Large Vision-Language Models Truly Think With Videos or Just Glimpse at Them? Calibrated Self-Rewarding Vision Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:58:28.693651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d23d70d0-a0c0-4148-8f1a-b3ad230b8e11 · inbound

Controlling Multimodal LLMs via Reward-guided Decoding cites this paper.

Controlling Multimodal LLMs via Reward-guided Decoding Calibrated Self-Rewarding Vision Language Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-05T19:52:50.390184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c929866-b6dd-492c-98de-e715d255ec40 · inbound

Self-Rewarding Vision-Language Model via Reasoning Decomposition cites this paper.

Self-Rewarding Vision-Language Model via Reasoning Decomposition Calibrated Self-Rewarding Vision Language Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-18T21:06:50.930423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c5bb8057-b04a-42c5-bca4-1400387f4776 · inbound

Improving Large Vision and Language Models by Learning from a Panel of Peers cites this paper.

Improving Large Vision and Language Models by Learning from a Panel of Peers Calibrated Self-Rewarding Vision Language Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-05T12:27:27.717430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f8aa241-0347-4d60-b7f7-6b2d7ebe297b · inbound

Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All? cites this paper.

Mirror, Mirror on the Wall: Can VLM Agents Tell Who They Are at All? Calibrated Self-Rewarding Vision Language Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:36:18.555484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2904dec5-c4b5-4059-83be-7e9c2bea0cff · inbound

Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs cites this paper.

Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs Calibrated Self-Rewarding Vision Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T04:15:39.562163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.