Paper Citation Record · LEDGER

Vision-Language Models Can Self-Improve Reasoning via Reflection

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2411.00855.

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

pith.paper-citation-record.v1
2411.00855 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:02:42.771148Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:40:41.972221Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 71a9a95e-e4f7-4e87-b910-6ba83faf1db8 · inbound

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models cites this paper.

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T14:52:56.943111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c56b2061-6c54-408a-b86c-17a8d63e75de · inbound

Probing the limitations of multimodal language models for chemistry and materials research cites this paper.

Probing the limitations of multimodal language models for chemistry and materials research Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T12:45:35.677712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90ad8580-d8e3-4319-91fa-5b6db437a227 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 123

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:40:41.975588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3de43286-d04a-48bc-a870-7d8a0a9b0997 · inbound

Generative AI Act II: Test Time Scaling Drives Cognition Engineering cites this paper.

Generative AI Act II: Test Time Scaling Drives Cognition Engineering Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T12:02:42.771148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ede4eca3-5d4c-4b94-ac75-67f6c14b37ea · inbound

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience cites this paper.

Nature's Insight: A Novel Framework and Comprehensive Analysis of Agentic Reasoning Through the Lens of Neuroscience Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 263

Resolution: unresolved; no resolver link, observed 2026-08-15T23:31:12.892854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39147750-bcef-4a0f-885f-f886e0ed0be5 · inbound

Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models cites this paper.

Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:30.548612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c35fc60-7847-4323-a846-5c23a3736f1b · inbound

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start cites this paper.

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:53.239198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1205788b-9e78-42eb-abef-992a56206d9e · inbound

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents cites this paper.

GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:14:51.042029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c80bb66-02a8-4420-a3c7-08d9ebd843db · inbound

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism cites this paper.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:18.339751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45b7c3e9-47bb-4b4e-a65a-4055516ca53a · inbound

Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning cites this paper.

Making VLMs More Robot-Friendly: Self-Critical Distillation of Low-Level Procedural Reasoning Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T18:30:47.053859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e770a3bb-41a1-458a-a9f6-e3c85c2a93c2 · inbound

OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows cites this paper.

OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T15:46:05.769040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b30df57e-bffb-4bb0-bd10-25d1c9211092 · inbound

Egocentric Bias in Vision-Language Models cites this paper.

Egocentric Bias in Vision-Language Models Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T03:04:42.848005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f0c08b-f698-4f4e-b52f-62a30ca8cb61 · inbound

ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures cites this paper.

ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T22:44:15.188754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation b5f3a9ba-926d-47ae-8dee-a0f2249392f0 · inbound

ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures cites this paper.

ReCAPA: Hierarchical Predictive Correction to Mitigate Cascading Failures Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:11:19.354244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.