Paper Citation Record · LEDGER

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration

As of 23 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2606.09474.

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

pith.paper-citation-record.v1
2606.09474 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:12:39.150301Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

44 of 44 outbound references displayed

verified exact3
verified fuzzy0
unresolved41
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e89b0155-9367-4bc7-bcbe-ded944e85f90 · outbound

This paper cites Fossil: Free Open-V ocabulary Semantic Segmentation through Synthetic References Retrieval.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Fossil: Free Open-V ocabulary Semantic Segmentation through Synthetic References Retrieval

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 2aaed2b8-7a3d-42b2-9a16-02b86393b145 · outbound

This paper cites Training-Free Open-V ocabulary Segmentation with Offline Diffusion- Augmented Prototype Generation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Training-Free Open-V ocabulary Segmentation with Offline Diffusion- Augmented Prototype Generation

Reference 2

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Observation 2f3563ad-250b-42a5-854d-a5e1241b01b3 · outbound

This paper cites SAM 3: Segment Anything with Concepts.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration SAM 3: Segment Anything with Concepts

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation a0e52e33-dead-40d9-9bf9-46829928ca22 · outbound

This paper cites Training-free fine-grained semantic segmentations in low data regimes: A fungitastic baseline.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Training-free fine-grained semantic segmentations in low data regimes: A fungitastic baseline

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 925569c4-abd4-4e44-b144-6a580d8ead43 · outbound

This paper cites Learning to Generate Text-Grounded Mask for Open-World Semantic Segmentation from Only Image-Text Pairs.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Learning to Generate Text-Grounded Mask for Open-World Semantic Segmentation from Only Image-Text Pairs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation ce6c4fb7-1616-4527-a487-8a2eee334f55 · outbound

This paper cites an unresolved cited work.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation fe16a554-c7e7-4a90-9614-296f795285ea · outbound

This paper cites CAT-Seg: 8 Cost Aggregation for Open-V ocabulary Semantic Segmen- tation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration CAT-Seg: 8 Cost Aggregation for Open-V ocabulary Semantic Segmen- tation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 7ef8bb4f-59b4-4e02-badd-0c30ee187fab · outbound

This paper cites Open- V ocabulary Universal Image Segmentation with MaskCLIP.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Open- V ocabulary Universal Image Segmentation with MaskCLIP

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Unavailable: canonical work link unavailable.

Observation cb0a7b5a-42d1-4b40-a798-409b7b7a89e7 · outbound

This paper cites Self- Support Few-Shot Semantic Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Self- Support Few-Shot Semantic Segmentation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation f73a35f4-a562-4c21-9391-426593f36d90 · outbound

This paper cites Enhancing Generalized Few-Shot Se- mantic Segmentation via Effective Knowledge Transfer.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Enhancing Generalized Few-Shot Se- mantic Segmentation via Effective Knowledge Transfer

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation be542ff6-449b-4fb9-9797-83af07bca3a9 · outbound

This paper cites Visual Prompting for Gen- eralized Few-Shot Segmentation: A Multi-Scale Approach.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Visual Prompting for Gen- eralized Few-Shot Segmentation: A Multi-Scale Approach

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 67786416-166f-444d-8e40-7aa74765974b · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Berg, Wan-Yen Lo, Piotr Doll ´ar, and Ross Girshick

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation e27ac810-e115-43c0-bb33-fbb6b3cd0ad4 · outbound

This paper cites Learning What Not to Segment: A New Perspective on Few- Shot Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Learning What Not to Segment: A New Perspective on Few- Shot Segmentation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 346fe012-4860-41ba-a906-66268afde5ab · outbound

This paper cites Open-V ocabulary Semantic Segmentation with Mask-Adapted CLIP.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Open-V ocabulary Semantic Segmentation with Mask-Adapted CLIP

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 12c3bcca-39d2-42b1-aba9-5b1a48cd7185 · outbound

This paper cites Class-Agnostic Few-Shot Object Counting and Segmentation via Cross-Attention Networks.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Class-Agnostic Few-Shot Object Counting and Segmentation via Cross-Attention Networks

Reference 15

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Observation b414a2ad-ad1f-43aa-aced-c558c3faf0d5 · outbound

This paper cites Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 520da66a-918c-4f20-be43-7858d0d41c03 · outbound

This paper cites Intermediate Prototype Mining Trans- former for Few-Shot Semantic Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Intermediate Prototype Mining Trans- former for Few-Shot Semantic Segmentation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 22a41644-5b54-443d-8810-4cda3d6b8319 · outbound

This paper cites SegCLIP: Patch Aggregation with Learnable Centers for Open-V ocabulary Semantic Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration SegCLIP: Patch Aggregation with Learnable Centers for Open-V ocabulary Semantic Segmentation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 41c6198e-cf98-4904-8308-e0e0bb25cac6 · outbound

This paper cites Hypercorre- lation Squeeze for Few-Shot Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Hypercorre- lation Squeeze for Few-Shot Segmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation db496622-f750-429f-8a61-68e826efcd01 · outbound

This paper cites V o, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration V o, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, et al

Reference 20

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Observation 65182f4e-ed61-4bff-80b4-8e34bb7838e3 · outbound

This paper cites Hierarchical Dense Correlation Distillation for Few-Shot Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Hierarchical Dense Correlation Distillation for Few-Shot Segmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation a2406374-91de-4285-b8ae-daf4adab69a8 · outbound

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

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Learning Transferable Visual Models from Natural Language Supervision

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 1acfaf64-9a1d-432d-9556-fb164a55f0a8 · outbound

This paper cites SAM 2: Seg- ment Anything in Images and Videos.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration SAM 2: Seg- ment Anything in Images and Videos

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 2964548b-87a3-487a-b52e-cf9e0a6545bf · outbound

This paper cites LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration LPOSS: Label Propagation Over Patches and Pixels for Open-vocabulary Semantic Segmentation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:27:29.780886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 022de180-017c-4072-a554-688aa7bcd564 · outbound

This paper cites VRP-SAM: SAM with Visual Reference Prompt.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration VRP-SAM: SAM with Visual Reference Prompt

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation d8d039cf-6a13-4914-b9cd-114d089b9a7f · outbound

This paper cites Prior Guided Feature Enrich- ment Network for Few-Shot Segmentation.IEEE Transac- tions on Pattern Analysis and Machine Intelligence (TPAMI), 44(2):1050–1065, 2020.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Prior Guided Feature Enrich- ment Network for Few-Shot Segmentation.IEEE Transac- tions on Pattern Analysis and Machine Intelligence (TPAMI), 44(2):1050–1065, 2020

Reference 26

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Observation 32ff9670-e5d0-4dfe-a764-7e202bc3ddfa · outbound

This paper cites Generalized Few-Shot Se- mantic Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Generalized Few-Shot Se- mantic Segmentation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation ac925caf-0e55-4994-8758-2e8c95a89fd8 · outbound

This paper cites Few-Shot Semantic Segmentation Meets SAM3.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Few-Shot Semantic Segmentation Meets SAM3

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-07-03T00:27:29.783084Z

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Observation 1e8eb307-644c-4dad-a790-15bf28eb732b · outbound

This paper cites PANet: Few-Shot Image Semantic Segmen- tation with Prototype Alignment.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration PANet: Few-Shot Image Semantic Segmen- tation with Prototype Alignment

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation ba7d13c1-d2aa-4cb5-8561-14fdbd475231 · outbound

This paper cites Focus on query: Adversarial mining transformer for few-shot segmen- tation.Advances in neural information processing systems, 36:31524–31542, 2023.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Focus on query: Adversarial mining transformer for few-shot segmen- tation.Advances in neural information processing systems, 36:31524–31542, 2023

Reference 30

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Observation 88c7145b-9fe6-444f-8d0d-ed42589b5221 · outbound

This paper cites Make it up: Fake images, real gains in generalized few-shot semantic segmentation.arXiv preprint arXiv:2603.27206, 2026.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Make it up: Fake images, real gains in generalized few-shot semantic segmentation.arXiv preprint arXiv:2603.27206, 2026

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:27:29.785578Z

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Observation 8067c4ac-a5b9-40e2-8e4d-8c9ceb02bf3b · outbound

This paper cites A Simple Baseline for Open-V ocabulary Semantic Segmentation with Pre-Trained Vision-Language Model.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration A Simple Baseline for Open-V ocabulary Semantic Segmentation with Pre-Trained Vision-Language Model

Reference 32

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Observation 2a1276d8-181c-422a-8ca4-6c98d768139e · outbound

This paper cites Side Adapter Network for Open-V ocabulary Se- mantic Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Side Adapter Network for Open-V ocabulary Se- mantic Segmentation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation 186f1c33-6be9-4505-a20d-0f6e4ce9d633 · outbound

This paper cites Self-Calibrated Cross Attention Network for Few- Shot Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Self-Calibrated Cross Attention Network for Few- Shot Segmentation

Reference 34

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Observation b36d6641-e108-47da-bba4-aa76434c7313 · outbound

This paper cites Eliminating Feature Ambi- guity for Few-Shot Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Eliminating Feature Ambi- guity for Few-Shot Segmentation

Reference 35

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This paper cites Unlocking the Power of SAM 2 for Few-Shot Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Unlocking the Power of SAM 2 for Few-Shot Segmentation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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Observation f5e62bc6-9d69-4df2-80b0-a2f3ec17c0a1 · outbound

This paper cites Feature- Proxy Transformer for Few-Shot Segmentation.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Feature- Proxy Transformer for Few-Shot Segmentation

Reference 37

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Observation 442e35f1-b999-4c47-966a-16857bcd50ae · outbound

This paper cites Open V ocabulary Scene Parsing.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Open V ocabulary Scene Parsing

Reference 38

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This paper cites predictor–loader transform equiv- alence.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration predictor–loader transform equiv- alence

Reference 39

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Observation 824efc0f-191f-4ee1-b222-d575d2eb5fc2 · outbound

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Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Unresolved cited work

Reference 40

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Observation d263cea5-a0d2-45b8-989a-6b634b462fd4 · outbound

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Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Unresolved cited work

Reference 41

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Observation bf68c9b8-3588-4d6f-a2c4-8b7387758114 · outbound

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Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration Unresolved cited work

Reference 42

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Observation d9dbc006-27b9-4e94-97f2-b6666fe9d0c9 · outbound

This paper cites VOC and IN-1k labels are kept whole, so table lampdoesnotleak the bare classlamp.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration VOC and IN-1k labels are kept whole, so table lampdoesnotleak the bare classlamp

Reference 43

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Observation 8a889cd8-1af0-4a63-940d-734d3ef91554 · outbound

This paper cites val n” / “train n.

Training-Free Generalized Few-Shot Segmentation through Open-Vocabulary Semantic Arbitration val n” / “train n

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-27T17:12:39.150301Z

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