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Paper Citation Record · LEDGER

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation

As of 21 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 2 inbound Pith citation observations for arXiv:2505.02867.

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

pith.paper-citation-record.v1
2505.02867 v1

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:13:03.252276Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:34:35.817428Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T05:53:04.501994Z

Reference resolution

87 of 87 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved54
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5faed085-23e9-453c-b605-7e492aeabd50 · outbound

This paper cites https://www.anthropic.com/news/ claude-3-5-sonnet/.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation https://www.anthropic.com/news/ claude-3-5-sonnet/

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.880302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.880302Z digest=sha256:775f2de29311bfd334899c23072ac32d9535b35af5210d56cc8ad32fa572f962

Observation 3a5ad367-8009-4931-a43d-a3e69ff8a335 · outbound

This paper cites https://blog.google/technology/ai/ google-gemini-ai/.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation https://blog.google/technology/ai/ google-gemini-ai/

Reference 2

Resolution
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no resolver link, observed 2026-08-16T04:13:02.885326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.885326Z digest=sha256:9615cf769bf063fb19a4be8a435d289c4795c43684f8b869bb087b250a9701ae

Observation cb5ca8f2-8dd3-4a94-bb43-4073cc415c29 · outbound

This paper cites https://openai.com/index/hello-gpt- 4o/.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation https://openai.com/index/hello-gpt- 4o/

Reference 3

Resolution
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no resolver link, observed 2026-08-16T04:13:02.889547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.889547Z digest=sha256:3f008c78f1eb11eb6bafcac5dc2c0eb1f50057eb70eed3c07f43542c8d69073d

Observation 366aef2b-7959-4959-856e-7fc21963923d · outbound

This paper cites Pixtral 12B.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Pixtral 12B

Reference 4

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unresolved
no resolver link, observed 2026-08-16T04:13:02.894731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.894731Z digest=sha256:499ebbd9e35ab03e037a59caa13262a2a1280f3e1750318785aa9dff8f830601

Observation fe5cd3f3-7596-4112-9387-43f56b236733 · outbound

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

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Flamingo: a visual language model for few-shot learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.900011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.900011Z digest=sha256:32f32ddc25d1806d2924eea665bb41428f970513d82832ba1c1071fc0b6695bc

Observation 8be2e3ac-4f7e-4e45-b7ce-4d638d3fe9b5 · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.904796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.904796Z digest=sha256:e517fde55f1b31ccee5a7588e67b40c7a965127ee58f64a053ed273f3f6a94fd

Observation 3b6ba853-7024-40ba-81e2-12b768b6b6c2 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.909344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.909344Z digest=sha256:0d3f993445036987d94b52199b47145397502b5074195a6e4e1168b9a2b453b1

Observation fd4e7132-6a82-464c-a398-5ee011ed3ef9 · outbound

This paper cites Meyer, Yuning Chai, Dennis Park, and Yong Jae Lee.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Meyer, Yuning Chai, Dennis Park, and Yong Jae Lee

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.915247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.915247Z digest=sha256:a3c220728ef109e7172b2b424f9a227addfb1cdd84f0b5bbd5a4ff65a0f0101e

Observation 6b4b4e62-19ab-4876-80e7-4edfbc44441e · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.919724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.919724Z digest=sha256:b0dd2a362fb206e7bcb80f2a95139c867ba7e989fea562ec87567e02de70b5a9

Observation b6cb7f59-cb17-43af-91c3-388b42d2affd · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.925632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.925632Z digest=sha256:332a5fd143236a93904995c0308da598e02dcbc3a31ec43a29d7fbf4c74150ff

Observation 7fad7dea-a49d-45d0-9c08-f67a2ead09db · outbound

This paper cites Sam4mllm: Enhance multi- modal large language model for referring expression seg- mentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Sam4mllm: Enhance multi- modal large language model for referring expression seg- mentation

Reference 11

Resolution
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no resolver link, observed 2026-08-16T04:13:02.929984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.929984Z digest=sha256:e4fdd621594a9ade23cb9e6d1eefe53d5b6e78b74f505b5dcf99d2367f613ccc

Observation 6f310c33-96e8-49df-88a5-054b3c8be8d4 · outbound

This paper cites Mask grounding for referring image seg- mentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Mask grounding for referring image seg- mentation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.934336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.934336Z digest=sha256:b35fdeb1c16f68224ce50e83557a69f3e1bd7855696220f6a336fd1f716fd204

Observation 2ac8ffc8-f427-40bd-add6-b5b0501f93cb · outbound

This paper cites Abo: Dataset and benchmarks for real-world 3d object understand- ing.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Abo: Dataset and benchmarks for real-world 3d object understand- ing

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.168985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:02.939863Z digest=sha256:fd122dfd9743f3f3788467d4b9d956f96fe50463846421add042108217d3e854

Observation 68574412-7f87-4269-ac4f-cc73c38ea098 · outbound

This paper cites Simvg: A simple framework for visual grounding with decoupled multi-modal fusion.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Simvg: A simple framework for visual grounding with decoupled multi-modal fusion

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.156606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:02.943584Z digest=sha256:cb0e9c5de5609a6505bd1d1b21245505d1c1ca68a3780cdaa0c1405c61bac516

Observation b7eafe87-069a-418e-b6a3-24993b8470ae · outbound

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

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.947762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.947762Z digest=sha256:847108f81d2e6aa9ac1e45b08a043e2a3c7c63ba998e03c348ed91fe6ee044a0

Observation a5a6b715-4bf8-4d0b-a584-4d16bf4a92e9 · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 16

Resolution
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no resolver link, observed 2026-08-16T04:13:02.951582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.951582Z digest=sha256:acfc871f7f37c4437504169465193dde87712e51eff1fe63f1ae6ab06a91d475

Observation 5d329c4e-8499-47ec-bf2e-af32e7ea8f72 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.955795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.955795Z digest=sha256:b9aad45877899dc2ffe0ea49fa8d35e71a36c280cea344feebe2ef4e8389f7f0

Observation 8a7c4cb9-8d2b-4592-b1fa-269dd7a64ef8 · outbound

This paper cites Vision-language transformer and query generation for refer- ring segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Vision-language transformer and query generation for refer- ring segmentation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.960071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.960071Z digest=sha256:801cfe8d8308b38729963ed75ac0278af38052e3ec42963d7f8bb3c4cedfcb75

Observation f73e4735-08f1-4b21-b582-fc5228e05b95 · outbound

This paper cites Measuring nominal scale agreement among many raters.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Measuring nominal scale agreement among many raters

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.137133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:02.964042Z digest=sha256:a1a677a0d8aec0c278de6c10e537a2d962075884b70f0f5d5437ad1f7c137ba0

Observation 69adad77-9cab-4945-8ddb-83f404653f9f · outbound

This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.967603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.967603Z digest=sha256:137ee20bcdebd752895c508115e4a4c330909ee4e3d97e0a595c941f47fbfed4

Observation 606f8a24-fef6-4c74-8bd3-8f9370d5c51a · outbound

This paper cites Seg- mentation from natural language expressions.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Seg- mentation from natural language expressions

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.124885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:02.971263Z digest=sha256:d12718953782194747c0fbdf9e5ac41c7623b4c2ef88948c0fdc6008a6b1fb2b

Observation 24d96f4b-461c-4506-a8b7-5d191837ee35 · outbound

This paper cites Beyond one-to-one: Re- thinking the referring image segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Beyond one-to-one: Re- thinking the referring image segmentation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.113750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:02.975316Z digest=sha256:4fa97fa7bec8a139790b2294c9b347dc3b5b7c996990a34239e61ad8ce1d56b4

Observation 20e08552-0b6c-4a83-8292-7219ead0d25d · outbound

This paper cites Diffusion Models for Open-Vocabulary Segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Diffusion Models for Open-Vocabulary Segmentation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.979935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.979935Z digest=sha256:d3a2273b8c77bbd7bd68c7ff46167ccb1ddd150f685ab1977563ea6407f830ff

Observation aa9344ca-2954-46b6-a532-e0feb93937d3 · outbound

This paper cites Referitgame: Referring to objects in pho- tographs of natural scenes.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Referitgame: Referring to objects in pho- tographs of natural scenes

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.101816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:02.984073Z digest=sha256:c84fc5171ed8edc55a305448c5be40d81b5da7ad7cc5e2824f5e9dceb2a615cf

Observation 4eb7146e-47aa-4106-8acc-66604cc74af2 · outbound

This paper cites Segment any- thing.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Segment any- thing

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.090329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:02.988127Z digest=sha256:56d379ff4c0a67a568e9b1fc6fae03c6542420beedb29fe315a0774e98fc2234

Observation 7e86f6ab-ee85-4674-87ac-345d52ef84dc · outbound

This paper cites Lisa: Reasoning segmentation via large language model.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Lisa: Reasoning segmentation via large language model

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.078755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:02.992131Z digest=sha256:b503a0916d9540218762c4efc5a9d7012e2cfeb0d924d7152d978c60c982ca1d

Observation 45e648c8-db85-4e00-afb9-fc9027b4afed · outbound

This paper cites Text4Seg: Reimagining Image Segmentation as Text Generation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Text4Seg: Reimagining Image Segmentation as Text Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:02.995802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:02.995802Z digest=sha256:7c0b961173306ed4cae4ed357378cdbe65eb1d7777fa0fcc796592bd41c115f5

Observation f7a76263-635e-4c67-a090-4b60b30872a9 · outbound

This paper cites MIMIC-IT: Multi-Modal In-Context Instruction Tuning.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation MIMIC-IT: Multi-Modal In-Context Instruction Tuning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.000205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.000205Z digest=sha256:0ed2876746f8e906680ae5b388a86d7a2930c9c7f101e9dfa06183e49ed7cc8c

Observation a3bf505c-457b-471f-a604-230498348e5e · outbound

This paper cites Otter: A Multi-Modal Model with In-Context Instruction Tuning.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Otter: A Multi-Modal Model with In-Context Instruction Tuning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.004653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.004653Z digest=sha256:366bdfac147aac1a3611602e4c1cab32a541ea60192be9d02f38d2656c2df6fa

Observation bbecb0d9-9a4d-412c-92df-3ede19aad836 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.008467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.008467Z digest=sha256:057452b7dbf261e1f55b680a09abd2a33b7f3e6e3bee2ff5b0dc95e5454aa636

Observation 3b309d98-b8e0-4016-ac6c-48c558773070 · outbound

This paper cites Referring transformer: A one-step approach to multi-task visual grounding.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Referring transformer: A one-step approach to multi-task visual grounding

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.012140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.012140Z digest=sha256:5f2f01e056a9ee5a8b296cb87afadbe971188ba81a1f5a23dc05eb718cf26623

Observation d9de2ce5-8d14-4f9d-9e71-57c73a05c6a0 · outbound

This paper cites Gres: Gen- eralized referring expression segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Gres: Gen- eralized referring expression segmentation

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.052142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.016217Z digest=sha256:a755bc1378ed6f04cf1d02dd2718540e01f9dab0981e1e2d9c1eb364db2f5702

Observation e75aff2a-3135-44b8-adc2-d8bef5fa75cc · outbound

This paper cites Improved baselines with visual instruction tuning.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Improved baselines with visual instruction tuning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.020389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.020389Z digest=sha256:718a08558ea4f85d1559f2ef48b6a481ed87f64b815ff3507eb6d476c30c8a31

Observation 1ed93e33-bd3f-4ecc-b5e7-1db8d46f1ca8 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.024496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.024496Z digest=sha256:e7b78c1b19a9a46cb1fb36e91ff0f3a17a58ddae08a9d14201ffc43349313553

Observation da1e902c-df58-4910-9d5e-ff8f4f998441 · outbound

This paper cites Visual instruction tuning.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Visual instruction tuning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.028272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.028272Z digest=sha256:c84368313e532227212aa722a6383b9fdfc58df5067b42c5b761bb5b45dcdc57

Observation 6604a861-49dd-483d-a225-d621f0983b42 · outbound

This paper cites Poly- former: Referring image segmentation as sequential poly- gon generation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Poly- former: Referring image segmentation as sequential poly- gon generation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.021113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.031841Z digest=sha256:f448787f0b6f2629f43a2e415ea4fa68b97b3340954da1b3bcae8975332c3ab5

Observation 6e59718f-5cb3-4106-ad30-7b45af33ba25 · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.036518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.036518Z digest=sha256:891abb528492e78df7951191ec98a17ff6b3da0c7e352b77befce31bb997316d

Observation 56814694-4310-4ecf-9830-5db2e5acd342 · outbound

This paper cites Refersam: Unleashing segment anything model for referring image segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Refersam: Unleashing segment anything model for referring image segmentation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:04.008584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.040539Z digest=sha256:7295ba18af0f4034960545e09f9e5f47480877b23ff44ceaf96296401df315aa

Observation a65154b5-3b96-46cc-acbc-0602e5d55a24 · outbound

This paper cites Generation and comprehension of unambiguous object descriptions.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Generation and comprehension of unambiguous object descriptions

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.995881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.044342Z digest=sha256:2103b995b248a9b428038b33ebf842501191cbbf330981bfb63b404c1a5a229b

Observation 6ba07208-ba41-49f8-8341-d5cb4ba4431b · outbound

This paper cites Safari: Adaptive s equence tr a ns f ormer for we a kly su- pervised r eferring expression segmentat i on.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Safari: Adaptive s equence tr a ns f ormer for we a kly su- pervised r eferring expression segmentat i on

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.983658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.048844Z digest=sha256:630a55c8929c2ced210b3e6937b7c0a59378693e3a08552890c2d9a8c2ffc671

Observation 50be4751-e291-4bd1-a335-d274bbdaf4d7 · outbound

This paper cites Mod- eling context between objects for referring expression under- standing.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Mod- eling context between objects for referring expression under- standing

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.053288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.053288Z digest=sha256:3f0dc586b1e292a65b64c95e92e3ef445797db828b554ee20dea0ba39bc4c4d5

Observation 02421131-3e95-4c93-88a4-b5aab587c347 · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.057631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.057631Z digest=sha256:b1e91792af64d671d5ad89fc6840538b5a6a0aa1d0a9ec5a4c1e36eb479d2954

Observation a77ef161-d392-45ee-aa16-524c4d72f7a3 · outbound

This paper cites Jack of all tasks master of many: Designing general-purpose coarse-to-fine vision- language model.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Jack of all tasks master of many: Designing general-purpose coarse-to-fine vision- language model

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.964219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.062566Z digest=sha256:34fadf82e37e55200daf792d58629a3c155c72e7966299e019ab78153683333c

Observation b3fcbfa2-ed7d-45cd-9777-2963582322c0 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Learning transferable visual models from natural language supervi- sion

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.066618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.066618Z digest=sha256:368297cb5adafcf809f060d66698c5ac313b746697c430e8d2be8809d5ef5e35

Observation e1c68f1d-368e-4d50-99f8-e8004ea72134 · outbound

This paper cites Glamm: Pixel grounding large multimodal model.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Glamm: Pixel grounding large multimodal model

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.943982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.070742Z digest=sha256:8b68930a2e5395ce4906d10b9b98a2870b86b02be0807347807ffd228caf4f1b

Observation aa6bcad0-8fb1-4761-9c87-6547ea5760b6 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation SAM 2: Segment Anything in Images and Videos

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.074749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.074749Z digest=sha256:89d60f0970bc9523b5f65ed7d8aa09a1d061ccd90ea49a98b04c90a590e91199

Observation d35674f0-70fe-4d3a-a590-cd003acb6a62 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.078616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.078616Z digest=sha256:82f959faeff9e234f2e5bf72e55dd1b238401c40dd55d678f6a94ebc8580b187

Observation 25e66a2e-f2d7-4f32-956f-1de3a72f4865 · outbound

This paper cites Pixellm: Pixel reasoning with large multimodal model.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Pixellm: Pixel reasoning with large multimodal model

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.932626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.082601Z digest=sha256:beaa15f32163ecf305982c59ca3dc9651286b61613ba0ce70abe28cb4897cbf1

Observation 57d2beed-0be9-4eaa-b0d6-c9debd1578b6 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.086201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.086201Z digest=sha256:8b28901092aa38c1261d9d64b3c88b1ad65120f69de138959592c47cfa82a412

Observation 3044e421-792a-4e5a-9cf8-e5de167c36df · outbound

This paper cites Key-word-aware network for referring expression image seg- mentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Key-word-aware network for referring expression image seg- mentation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.921141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.091509Z digest=sha256:e5e84b2933da11629145ac0dd2d1ff5f7736a42651f12c4b0b7b529057c3c54f

Observation 4fac091e-15d6-4cc9-8e16-04b0dd65a0bb · outbound

This paper cites What does clip know about a red circle? vi- sual prompt engineering for vlms.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation What does clip know about a red circle? vi- sual prompt engineering for vlms

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.095661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.095661Z digest=sha256:fa3527c5d625a45999aee2634213f47175b44b2abef91648038aa6b9201ddec6

Observation 715bf89d-3d90-42e8-a143-a1ce2406dbd2 · outbound

This paper cites Clip as rnn: Segment countless visual concepts without training endeavor.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Clip as rnn: Segment countless visual concepts without training endeavor

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.902340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.099813Z digest=sha256:b8cee63934d00bd563bccbb805d6c73cf2f9da77ffa4df502a4ef81a4b2be5cd

Observation ecc25ac1-87e6-40e3-b567-7500b249dc93 · outbound

This paper cites Vrp-sam: Sam with visual reference prompt.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Vrp-sam: Sam with visual reference prompt

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.890299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.105238Z digest=sha256:e0d7d4ed6fc13e24aee7120dbadba0e780f81aed6beb22085f082acfde6255d4

Observation d36b1291-f51e-4dd3-b547-ceed6c69a4cf · outbound

This paper cites Text Augmented Spatial-aware Zero-shot Referring Image Segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Text Augmented Spatial-aware Zero-shot Referring Image Segmentation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.110101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.110101Z digest=sha256:d2a877c02e62e986b5986bc30ccb82698402a8b214d4e66d5092fef9d7642407

Observation 5c67b9ca-af74-4375-a038-2010504ad702 · outbound

This paper cites Visionllm: Large language model is also an open- ended decoder for vision-centric tasks.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Visionllm: Large language model is also an open- ended decoder for vision-centric tasks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.114840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.114840Z digest=sha256:658f41d7484228df5defcfdbcd15b0f817d881880ade60aa6dcf8928a35d30c8

Observation cba33339-946a-4507-96eb-97db097724f5 · outbound

This paper cites Unveiling parts beyond objects: Towards finer-granularity referring expres- sion segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Unveiling parts beyond objects: Towards finer-granularity referring expres- sion segmentation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.872647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.119176Z digest=sha256:2398799247c12f084a05f13b4c0e51c583975883ae7ddc5b6b9b6ece82005bab

Observation 91378316-c9a2-45c7-8b69-3271a6db9596 · outbound

This paper cites Cris: Clip- driven referring image segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Cris: Clip- driven referring image segmentation

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.861045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.123459Z digest=sha256:5e5ce486ab16fe96eb24a6147091c3db153ad5430fe1ed00d35a20ff7f7a5ed9

Observation f86d8a10-e64d-43ea-9a95-5df21d662a86 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.127510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.127510Z digest=sha256:1b8059f75b84773687409b97a198f19e71be619076973617b2f9ba972f8b204d

Observation bd10d382-138d-4919-893b-e044be659c0f · outbound

This paper cites Linguistic Query-Guided Mask Generation for Referring Image Segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Linguistic Query-Guided Mask Generation for Referring Image Segmentation

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.131350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.131350Z digest=sha256:999fd79c63d7ac99fe61eb3d0fed359c7070deb354c80c0551730815a50ed5d7

Observation fad851ff-cb10-4144-8c51-b225a25893b2 · outbound

This paper cites Segment every reference object in spatial and temporal spaces.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Segment every reference object in spatial and temporal spaces

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.841506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.135782Z digest=sha256:4a1ebed6944a43a47c0a824e40b4ca666caddf7a50196fc3686d8e280d37ff59

Observation 77967c65-cf69-41e8-95bc-3d9183b37a6f · outbound

This paper cites Towards robust referring image seg- mentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Towards robust referring image seg- mentation

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.829233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.139573Z digest=sha256:4e359b265a5c90bdb4c84f6349296ef0a1a202647cacc2da0caf661388e075e5

Observation d6493031-f15e-4d6b-89bd-07a727d51fa0 · outbound

This paper cites Visual Prompting in Multimodal Large Language Models: A Survey.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Visual Prompting in Multimodal Large Language Models: A Survey

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.143880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.143880Z digest=sha256:f416471eaf1caa269cbaf43a76941a7c3fb7875cdf48ec0fe482def1c66ca0f9

Observation 3c1bf1d5-da0f-4b8b-9df5-e991bf7de7c8 · outbound

This paper cites See say and segment: Teaching lmms to over- come false premises.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation See say and segment: Teaching lmms to over- come false premises

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.816988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.148082Z digest=sha256:36acf0530c5141271936822346b8b6a86d934e9506f4e7126e4fd8acd8f6a648

Observation ab1f7b10-2f8a-4031-b017-3f7e2411c76a · outbound

This paper cites Gsva: Generalized segmentation via multimodal large language models.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Gsva: Generalized segmentation via multimodal large language models

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.804896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.152119Z digest=sha256:2f99b206fd0a93dcf02d1b694d24b640d18afee19cc8e26d05f50ca7acb792a7

Observation d5f64165-acb1-4df4-8254-85dd4418081e · outbound

This paper cites Florence-2: Advancing a unified representation for a variety of vision tasks.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Florence-2: Advancing a unified representation for a variety of vision tasks

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.156263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.156263Z digest=sha256:2d6535ce065a58ae9d62c9d1589845f002639c967b80d04de2f8b25897bd1edb

Observation 60e76e86-71e4-498f-8dde-c78c9ce9f2bc · outbound

This paper cites Oneref: Unified one-tower expression grounding and segmentation with mask referring modeling.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Oneref: Unified one-tower expression grounding and segmentation with mask referring modeling

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.784479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.160726Z digest=sha256:34b292d2e951e4278a5fa66d4055d043bf139b1aacb1c646c364a78740473bc3

Observation 74e8e888-a60b-4c96-9e34-dd3d10610035 · outbound

This paper cites Pixel- aligned language model.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Pixel- aligned language model

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.771500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.165184Z digest=sha256:d3bccd27f521881858f5ad36eb2b859d66b92aca5f69960f457789927df98a81

Observation 4207f9a5-e042-4533-96ab-33b5cfcdf685 · outbound

This paper cites LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.169164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.169164Z digest=sha256:69c959058562b8bfad0caa084fb4564e2ee747c5b83e466c09f27cc3d423cd8f

Observation 5679b391-b1db-414d-9fff-81c42a81a35a · outbound

This paper cites Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.173773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.173773Z digest=sha256:c58a0ecc7b80d967e6e5c05d6c67f35f6e621aa7f67fced6c495a3665be8d5bc

Observation c4e4af64-c3c5-477c-b052-b5a8a5eb4f7a · outbound

This paper cites Fine-grained visual prompting.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Fine-grained visual prompting

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.758923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.177984Z digest=sha256:70ebbfbf62e3ed1ce7ee14e926d23cf83f2b1127fbf71d93656fe820d623dbad

Observation c305604a-2622-40a1-94da-d1989da4e372 · outbound

This paper cites Lavt: Language-aware vision transformer for referring image segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Lavt: Language-aware vision transformer for referring image segmentation

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.746995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.181774Z digest=sha256:b82b42d203465ed1b604dcd3e94649c95154ffb17ef8c92a4b8c818b7359079c

Observation ad41f841-414c-4c45-adad-456c8d368513 · outbound

This paper cites The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision).

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.185714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.185714Z digest=sha256:8a483a7d588d1b162b12bf6e48a08fde569b55d7748ba04f81067c3124d0e248

Observation 42096203-7060-42af-b387-8927122711c2 · outbound

This paper cites Cross-modal self-attention network for referring image seg- mentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Cross-modal self-attention network for referring image seg- mentation

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.734976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.189717Z digest=sha256:43ea393a94b9e3a3fdbeb0073b0b0f1ac71508491cff50d0a324f19d67192e2f

Observation 8d043a65-a67e-48ab-b8ab-9f2abbc7bd17 · outbound

This paper cites mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration

Reference 74

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.193843Z digest=sha256:42677054d45b23dd4921ec10521353ddea4514f1d4f16e60507c287f2d53f9b4

Observation 86aa3aaf-c892-49bc-a211-8675829167be · outbound

This paper cites Ferret: Refer and Ground Anything Anywhere at Any Granularity.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Ferret: Refer and Ground Anything Anywhere at Any Granularity

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.198129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.198129Z digest=sha256:4dc3b1350e563313cf5a24b1a0c0bc87657488281e1737342974fe291c6f83b8

Observation 692d08b5-dfe6-4d9d-803f-bb470521d135 · outbound

This paper cites Modeling context in referring expres- sions.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Modeling context in referring expres- sions

Reference 76

Resolution
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no resolver link, observed 2026-08-16T04:13:03.202525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.202525Z digest=sha256:b8dbf26c598c47c619f1083009dc4b12d90d51ca7d0ea70edf44922585e93e23

Observation abfb590d-90b0-455a-b5eb-7c123a2f58e4 · outbound

This paper cites Zero- shot referring image segmentation with global-local context features.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Zero- shot referring image segmentation with global-local context features

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.706951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.207223Z digest=sha256:d8e9532c759ee1d6518b2067aa5547728569b266e513280be5198eebe8f5c52f

Observation 7b8834b4-7f3f-474c-be28-d2ff5a69b208 · outbound

This paper cites Osprey: Pixel un- derstanding with visual instruction tuning.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Osprey: Pixel un- derstanding with visual instruction tuning

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.692554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.210999Z digest=sha256:9c40c19f59d51727d8878031b43bd42f434540b629d625e458ebc25833829358

Observation 3b2259c0-761a-4117-b270-ae80d1b8b9c7 · outbound

This paper cites NExT-Chat: An LMM for Chat, Detection and Segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation NExT-Chat: An LMM for Chat, Detection and Segmentation

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.214992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.214992Z digest=sha256:92ed2342327d58d62b27bb5dac915d67aba8a621220b5447c2255cd0d3e9713a

Observation 50c3f1da-23ba-4f44-a4cb-600a4fa440b9 · outbound

This paper cites GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

Reference 80

Resolution
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no resolver link, observed 2026-08-16T04:13:03.219515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.219515Z digest=sha256:98b881f1289af92ef251c86e5c7ce4da185ef48c554352a4a87712f85be8a71c

Observation d7ab5fd4-a47b-44dc-9b09-88ef87b95205 · outbound

This paper cites EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation EVF-SAM: Early Vision-Language Fusion for Text-Prompted Segment Anything Model

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.224984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.224984Z digest=sha256:9c5372e834c2d155a03e990273eaf1e6365b9d07cd22770a7d64ee9dd4c34bab

Observation b1c3bbed-f522-4f09-a95f-6f74449b07b3 · outbound

This paper cites Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.230614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.230614Z digest=sha256:258546f4e9a2325965c543aee43da8be826711b2eee4c5ebe918dc63fab2b9f9

Observation 6b251c4d-7561-46f8-aac9-8e0aa5477555 · outbound

This paper cites Coupalign: Coupling word-pixel with sentence- mask alignments for referring image segmentation.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Coupalign: Coupling word-pixel with sentence- mask alignments for referring image segmentation

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:13:03.679491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:13:03.235065Z digest=sha256:a4ea30a3ddb9a61174444eb99927a1cf333a285d0208ea21dc553b602682333d

Observation 4f76de8f-389e-4041-9817-7a538aa97af0 · outbound

This paper cites Fast Segment Anything.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Fast Segment Anything

Reference 84

Resolution
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no resolver link, observed 2026-08-16T04:13:03.239018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.239018Z digest=sha256:c2084db2807d84c59cb185cba85ad534c9808614a24b5afb4a52f269184c4bb7

Observation 923d3ab4-dfa2-4524-8598-be59a180219a · outbound

This paper cites TinyLLaVA: A Framework of Small-scale Large Multimodal Models.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation TinyLLaVA: A Framework of Small-scale Large Multimodal Models

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.243448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.243448Z digest=sha256:babb864d9c8ff8ebc57c125c7a1c1905ceffdb8c46f483d2215571ff8ce4c36e

Observation 52919938-b11b-4772-bcd4-223b77cbd5c2 · outbound

This paper cites Extract free dense labels from clip.

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation Extract free dense labels from clip

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.248137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.248137Z digest=sha256:85d8057f910169c263787bd289a57f290bc306d981f536d5d66527a02590877d

Observation 87011d76-ac01-4ccf-ac33-3afa1b85356b · outbound

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

RESAnything: Attribute Prompting for Arbitrary Referring Segmentation MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-16T04:13:03.252276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:13:03.252276Z digest=sha256:6b51f8576347aac8684b3580f0adbf6b0f2fd22aebdabffd692c2e235912e54c

Pith citing papers

Observation 02ca7b66-8a4a-412c-a107-88844dd75ccc · inbound

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning cites this paper.

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning RESAnything: Attribute Prompting for Arbitrary Referring Segmentation

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T00:34:35.817428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:34:35.817428Z digest=sha256:7c1f01098d31cf3858bacefcede675853e6b534a783c2ff689649822dcf1193e

Observation 1cef8875-6633-4341-81de-8bee780dfef1 · inbound

Vision Harnessing Agent for Open Ad-hoc Segmentation cites this paper.

Vision Harnessing Agent for Open Ad-hoc Segmentation RESAnything: Attribute Prompting for Arbitrary Referring Segmentation

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:53:04.503579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T05:52:40.429412Z digest=sha256:926c3d00b031a067b4b83c6e59b12a5c812d0616374b4cab43c5b6eb69951e24