Paper Citation Record · LEDGER

CF-VLM:CounterFactual Vision-Language Fine-tuning

As of 20 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 4 inbound Pith citation observations for arXiv:2506.17267.

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

pith.paper-citation-record.v1
2506.17267 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:07.332466Z

measured 85 of 85 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:51:29.406876Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:09:44.501635Z

Reference resolution

81 of 81 outbound references displayed

verified exact7
verified fuzzy33
unresolved41
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db04e06f-f11b-45e7-a857-2b6f14e0b7e2 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

CF-VLM:CounterFactual Vision-Language Fine-tuning BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 1

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Source-reported events for the cited work

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Observation dfbd2932-fb48-49b2-b13d-92c274c9d958 · outbound

This paper cites A Survey of Vision-Language Pre-Trained Models.

CF-VLM:CounterFactual Vision-Language Fine-tuning A Survey of Vision-Language Pre-Trained Models

Reference 2

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Observation 37109915-1310-47d6-9543-ff27ed9b2992 · outbound

This paper cites Flamingo: a visual language model for few-shot learning,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Flamingo: a visual language model for few-shot learning,

Reference 3

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Observation fcc8c1a0-c985-4ed2-b869-d631b3815a97 · outbound

This paper cites Causal Inference with Large Language Model: A Survey.

CF-VLM:CounterFactual Vision-Language Fine-tuning Causal Inference with Large Language Model: A Survey

Reference 4

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Observation 60fea556-4575-45ff-9b62-2d850b2a616b · outbound

This paper cites CELLO: Causal Evaluation of Large Vision-Language Models.

CF-VLM:CounterFactual Vision-Language Fine-tuning CELLO: Causal Evaluation of Large Vision-Language Models

Reference 5

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Observation 99555b6c-afd1-4d6d-8953-d6324ebaf0e1 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

CF-VLM:CounterFactual Vision-Language Fine-tuning Learning Transferable Visual Models From Natural Language Supervision

Reference 6

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Observation 8ff0d1b4-07be-48bd-ae98-24a0b4f88ee3 · outbound

This paper cites Measuring progress in fine-grained vision-and-language understanding,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Measuring progress in fine-grained vision-and-language understanding,

Reference 7

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Observation 8300da25-7d91-4df9-abed-eaece9b8617e · outbound

This paper cites Synthesize, diagnose, and optimize: Towards fine-grained vision-language understanding,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Synthesize, diagnose, and optimize: Towards fine-grained vision-language understanding,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.985378Z

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Observation e3947761-44ac-4821-adb9-1a20a4b3d0b9 · outbound

This paper cites Finer: Investigating and enhancing fine-grained visual concept recognition in large vision language models,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Finer: Investigating and enhancing fine-grained visual concept recognition in large vision language models,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.966532Z

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Observation 7d2999e9-fa44-4ff1-b40a-137410a2ded7 · outbound

This paper cites Benchmarking zero-shot recognition with vision-language models: Challenges on granularity and specificity,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Benchmarking zero-shot recognition with vision-language models: Challenges on granularity and specificity,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.947634Z

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Observation ab451ce1-26b1-4cb7-81d3-32137ef45aaa · outbound

This paper cites Vilta: Enhancing vision-language pre-training through textual augmentation,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Vilta: Enhancing vision-language pre-training through textual augmentation,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.931918Z

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Observation b637aff9-66da-4a03-bcb8-bc90540662f9 · outbound

This paper cites Towards vision-language mechanistic interpretability: A causal tracing tool for blip,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Towards vision-language mechanistic interpretability: A causal tracing tool for blip,

Reference 12

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Observation a1d558dd-dfec-4602-8c5c-0d506ba8ad8f · outbound

This paper cites What matters when building vision-language models?.

CF-VLM:CounterFactual Vision-Language Fine-tuning What matters when building vision-language models?

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.895947Z

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Observation b9f42f80-8a62-4c16-b903-fd65508ef49a · outbound

This paper cites Fine-grained alignment for cross-modal recipe retrieval,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Fine-grained alignment for cross-modal recipe retrieval,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.878291Z

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Observation 0c8a2ede-f477-4e9f-bc3e-ac43428afc04 · outbound

This paper cites Localized triplet loss for fine-grained fashion image retrieval,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Localized triplet loss for fine-grained fashion image retrieval,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.858955Z

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Observation 110a4311-512f-4704-9fe0-b9aaca3441f3 · outbound

This paper cites TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives.

CF-VLM:CounterFactual Vision-Language Fine-tuning TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives

Reference 16

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Observation 3c99b13f-56ef-4af6-9ab3-ca42fbd4ccb9 · outbound

This paper cites Facenet: A unified embedding for face recognition and clustering,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Facenet: A unified embedding for face recognition and clustering,

Reference 17

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Observation 8bbcaeb3-aba4-445b-8ba4-599906698382 · outbound

This paper cites CPL: Counterfactual prompt learning for vision and language models,.

CF-VLM:CounterFactual Vision-Language Fine-tuning CPL: Counterfactual prompt learning for vision and language models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.825807Z

Source-reported events for the cited work

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Observation f2cdb927-37fb-41da-80bd-bbd97f3162c2 · outbound

This paper cites Attention Is All You Need.

CF-VLM:CounterFactual Vision-Language Fine-tuning Attention Is All You Need

Reference 21

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Observation b666d97b-07a6-4e8f-afd5-494e7f79f3db · outbound

This paper cites A survey on evaluation of large language models,.

CF-VLM:CounterFactual Vision-Language Fine-tuning A survey on evaluation of large language models,

Reference 22

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Observation ba152358-f5c9-440e-9f5e-efe7a008b601 · outbound

This paper cites A survey of visual transformers,.

CF-VLM:CounterFactual Vision-Language Fine-tuning A survey of visual transformers,

Reference 23

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Observation 846e6f77-4295-47f2-ba90-0ee581c751d9 · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

CF-VLM:CounterFactual Vision-Language Fine-tuning A simple framework for contrastive learning of visual representations,

Reference 24

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Observation e4f02ba1-a538-42dd-8408-84b1e0268399 · outbound

This paper cites Understanding contrastive representation learning through alignment and uniformity on the hypersphere,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Understanding contrastive representation learning through alignment and uniformity on the hypersphere,

Reference 25

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Observation 02c019f0-7f4e-4b7e-b6b5-d13924477716 · outbound

This paper cites Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision.

CF-VLM:CounterFactual Vision-Language Fine-tuning Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

Reference 26

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This paper cites Cogs: A compositional generalization challenge based on semantic interpretation,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Cogs: A compositional generalization challenge based on semantic interpretation,

Reference 27

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Observation 43a53351-d77c-4251-b4fd-cea102c36b13 · outbound

This paper cites Learning what makes a difference from counterfactual examples and gradient supervision,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Learning what makes a difference from counterfactual examples and gradient supervision,

Reference 28

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Observation 08b38393-f8f0-44a3-b187-ce2bd65a3274 · outbound

This paper cites Teaching clip to count to ten,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Teaching clip to count to ten,

Reference 29

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Observation e06c7165-c2c9-4efa-b367-550c11e41768 · outbound

This paper cites DISCO: Distilling Counterfactuals with Large Language Models.

CF-VLM:CounterFactual Vision-Language Fine-tuning DISCO: Distilling Counterfactuals with Large Language Models

Reference 30

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Observation 2bad5841-e5b9-4482-a9f0-64aaf70d9a71 · outbound

This paper cites Counterfactually measuring and eliminating social bias in vision-language pre-training models,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Counterfactually measuring and eliminating social bias in vision-language pre-training models,

Reference 31

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This paper cites Counterfactual attention learning for fine-grained visual categorization and re-identification,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Counterfactual attention learning for fine-grained visual categorization and re-identification,

Reference 32

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This paper cites Counterfactual samples synthesizing and training for robust visual question answering,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Counterfactual samples synthesizing and training for robust visual question answering,

Reference 33

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Observation 5733a09a-3318-489a-98d1-376fb7498080 · outbound

This paper cites Qwen2.5 Technical Report.

CF-VLM:CounterFactual Vision-Language Fine-tuning Qwen2.5 Technical Report

Reference 34

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CF-VLM:CounterFactual Vision-Language Fine-tuning Conceptual 12M: Pushing web-scale image-text pre-training to recognize long-tail visual concepts,

Reference 35

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CF-VLM:CounterFactual Vision-Language Fine-tuning Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning,

Reference 36

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This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

CF-VLM:CounterFactual Vision-Language Fine-tuning Microsoft COCO Captions: Data Collection and Evaluation Server

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This paper cites ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs.

CF-VLM:CounterFactual Vision-Language Fine-tuning ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs

Reference 38

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This paper cites When and why vision-language models behave like bags-of-words, and what to do about it?.

CF-VLM:CounterFactual Vision-Language Fine-tuning When and why vision-language models behave like bags-of-words, and what to do about it?

Reference 39

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This paper cites VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations.

CF-VLM:CounterFactual Vision-Language Fine-tuning VL-CheckList: Evaluating Pre-trained Vision-Language Models with Objects, Attributes and Relations

Reference 40

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This paper cites ImageNet Large Scale Visual Recognition Challenge,.

CF-VLM:CounterFactual Vision-Language Fine-tuning ImageNet Large Scale Visual Recognition Challenge,

Reference 41

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Observation 799bc5f2-8288-4427-b732-aea50db657ef · outbound

This paper cites From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions,.

CF-VLM:CounterFactual Vision-Language Fine-tuning From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions,

Reference 42

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Observation ed03be52-36d3-4416-990c-4cafb667f01d · outbound

This paper cites Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding.

CF-VLM:CounterFactual Vision-Language Fine-tuning Contrasting Intra-Modal and Ranking Cross-Modal Hard Negatives to Enhance Visio-Linguistic Compositional Understanding

Reference 43

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This paper cites Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-modal Structured Representations.

CF-VLM:CounterFactual Vision-Language Fine-tuning Structure-CLIP: Towards Scene Graph Knowledge to Enhance Multi-modal Structured Representations

Reference 45

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CF-VLM:CounterFactual Vision-Language Fine-tuning Improved Baselines with Visual Instruction Tuning

Reference 46

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This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

CF-VLM:CounterFactual Vision-Language Fine-tuning InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 47

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This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

CF-VLM:CounterFactual Vision-Language Fine-tuning MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 48

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This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

CF-VLM:CounterFactual Vision-Language Fine-tuning SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 49

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

CF-VLM:CounterFactual Vision-Language Fine-tuning Evaluating Object Hallucination in Large Vision-Language Models

Reference 50

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This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

CF-VLM:CounterFactual Vision-Language Fine-tuning MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 51

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Observation ce3d1c0b-f348-4bdc-a973-23c90907feb9 · outbound

This paper cites Vision-and-Language Pretrained Models: A Survey.

CF-VLM:CounterFactual Vision-Language Fine-tuning Vision-and-Language Pretrained Models: A Survey

Reference 52

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This paper cites Exploring the frontier of vision-language models: A survey of current methodologies and future directions,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Exploring the frontier of vision-language models: A survey of current methodologies and future directions,

Reference 53

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Observation 04362e3a-ca1b-4aa9-b3c2-5162f4df9c23 · outbound

This paper cites Vision-language models for vision tasks: A survey,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Vision-language models for vision tasks: A survey,

Reference 54

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This paper cites Counterfactual vision and language learning,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Counterfactual vision and language learning,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.613419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5256965e-acca-49f2-83fb-b036e5e749f4 · outbound

This paper cites Counterfactual reasoning for multi-label image classification via patching-based training,.

CF-VLM:CounterFactual Vision-Language Fine-tuning Counterfactual reasoning for multi-label image classification via patching-based training,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.597922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 75ad03d2-c6ca-4845-a852-39b0a661e028 · outbound

This paper cites Causal Graphical Models for Vision-Language Compositional Understanding.

CF-VLM:CounterFactual Vision-Language Fine-tuning Causal Graphical Models for Vision-Language Compositional Understanding

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:01:07.719377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f4e29da0-3367-43e2-b371-50cbf99390a1 · outbound

This paper cites CPL: Counterfactual Prompt Learning for Vision and Language Models.

CF-VLM:CounterFactual Vision-Language Fine-tuning CPL: Counterfactual Prompt Learning for Vision and Language Models

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:01:07.433090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 82b5f82b-87b4-4f61-8a8e-38e472eac53b · outbound

This paper cites Counterfactual Visual Explanations.

CF-VLM:CounterFactual Vision-Language Fine-tuning Counterfactual Visual Explanations

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:07.227257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e4108df-7b85-443d-af3d-3ff07f794393 · outbound

This paper cites Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification.

CF-VLM:CounterFactual Vision-Language Fine-tuning Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:01:07.410653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af0ade69-265d-4dfe-87f4-5bac436fca09 · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.580872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 38178384-683d-4c49-b0d8-2d9434e28870 · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.565173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4b2c7b5-42f4-4330-97b6-da6084a79ff5 · outbound

This paper cites Rules: • Modifyonly one thing(either one attribute or one causal link).

CF-VLM:CounterFactual Vision-Language Fine-tuning Rules: • Modifyonly one thing(either one attribute or one causal link)

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.547774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a125a548-442b-48f1-8e97-5a7935069a43 · outbound

This paper cites Example Input: A young woman holding a racket hit the ball, and the ball flew outward.

CF-VLM:CounterFactual Vision-Language Fine-tuning Example Input: A young woman holding a racket hit the ball, and the ball flew outward

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.528325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 98563f15-079f-4b01-877a-75ae0aa6db83 · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.512290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87f61e64-b74d-41b0-90d6-958147e1b9ef · outbound

This paper cites Output (causal):.

CF-VLM:CounterFactual Vision-Language Fine-tuning Output (causal):

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.495564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3fa6ee5-d2a5-4657-a4b6-db4745d88fe1 · outbound

This paper cites dirt” with “paved roads.

CF-VLM:CounterFactual Vision-Language Fine-tuning dirt” with “paved roads

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.474047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37f1a45c-cfb8-476f-877b-b90457564489 · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.446664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b49d51f6-6c25-4ba7-827c-78703bf04ab2 · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.428518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation efcd3bf2-24ca-48b3-95c4-1d7b15b217ad · outbound

This paper cites causal decision points.

CF-VLM:CounterFactual Vision-Language Fine-tuning causal decision points

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.412119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1a1cde11-e036-45e2-b861-38daf8f12ede · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 73

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.393260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5504e3cd-2e3b-4cfa-854b-3e4a660c462e · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 74

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.375706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72662f1d-9f16-4588-bd8f-3ce329cae31a · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 75

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.357028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4b55706-9edf-4850-8635-25e55d99d1eb · outbound

This paper cites Two people on motorcycles riding them.

CF-VLM:CounterFactual Vision-Language Fine-tuning Two people on motorcycles riding them

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.338390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ef86dff8-a5a1-4677-9571-c66da1bcdad5 · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 77

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.316820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c2267686-b567-446f-825c-7242bcfec410 · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 78

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.298808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dc45ff25-b0fd-42b3-9c54-1e74ba3d9c7a · outbound

This paper cites causality.

CF-VLM:CounterFactual Vision-Language Fine-tuning causality

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.281488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5e3b4834-cbbe-463d-ad1c-215fa2526338 · outbound

This paper cites parallel realities.

CF-VLM:CounterFactual Vision-Language Fine-tuning parallel realities

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.260724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 443bbec6-8f01-47e4-a298-1b68d0e77f84 · outbound

This paper cites These are employed in Lcsd to help the model learn semantic scene boundaries.

CF-VLM:CounterFactual Vision-Language Fine-tuning These are employed in Lcsd to help the model learn semantic scene boundaries

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.243881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7aa85fba-ece3-4611-85b4-63191fb81046 · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 82

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.224933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 527bc56b-0dc5-4d77-bf56-110aaa7a9aa8 · outbound

This paper cites an unresolved cited work.

CF-VLM:CounterFactual Vision-Language Fine-tuning Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:01:08.210112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 39db48cf-7edf-4131-b359-6611f6b84ee1 · outbound

This paper cites kicking a ball.

CF-VLM:CounterFactual Vision-Language Fine-tuning kicking a ball

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:01:08.194421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d6f96fae-5544-4683-a0ec-c5087db8e7fc · outbound

This paper cites COGS: A Compositional Generalization Challenge Based on Semantic Interpretation.

CF-VLM:CounterFactual Vision-Language Fine-tuning COGS: A Compositional Generalization Challenge Based on Semantic Interpretation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:07.080997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f17ba9ae-74f7-42d7-bef8-edc49c67d258 · outbound

This paper cites What matters when building vision-language models?.

CF-VLM:CounterFactual Vision-Language Fine-tuning What matters when building vision-language models?

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T05:01:07.007888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation ed3a27c0-7fbc-410e-b5e1-f1305cb5945a · inbound

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration cites this paper.

OSC: Cognitive Orchestration through Dynamic Knowledge Alignment in Multi-Agent LLM Collaboration CF-VLM:CounterFactual Vision-Language Fine-tuning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-05T05:51:29.406876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f99d24fa-3e34-4deb-bb1e-d630323c6d50 · inbound

When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs cites this paper.

When Vision Overrides Language: Evaluating and Mitigating Counterfactual Failures in VLAs CF-VLM:CounterFactual Vision-Language Fine-tuning

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T22:14:31.005765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43294dc-c047-41b0-97e7-665272a05f21 · inbound

CFPO: Counterfactual Policy Optimization for Multimodal Reasoning cites this paper.

CFPO: Counterfactual Policy Optimization for Multimodal Reasoning CF-VLM:CounterFactual Vision-Language Fine-tuning

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:09:44.503204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 03766e84-061f-41f4-9881-13016b986e34 · inbound

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning cites this paper.

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning CF-VLM:CounterFactual Vision-Language Fine-tuning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T03:20:41.148082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.