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Paper Citation Record · LEDGER

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 7 inbound Pith citation observations for arXiv:2505.18986.

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

pith.paper-citation-record.v1
2505.18986 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:43.959038Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T07:07:59.925795Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:17:58.075590Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy32
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8031d5a1-ae22-493d-b571-74ad3918e70f · outbound

This paper cites Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Lang, Sourabh V ora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.647029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:41.306134Z digest=sha256:15ee6e8cb444f15ac57516aa42ef8fac20e483fa6d08b99ef863d98337566dce

Observation 80bd6b94-22d0-4e78-98cc-3191d61c86c3 · outbound

This paper cites MMDetection: Open MMLab Detection Toolbox and Benchmark.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion MMDetection: Open MMLab Detection Toolbox and Benchmark

Reference 2

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no resolver link, observed 2026-08-07T14:25:41.407593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:41.407593Z digest=sha256:282c26cb214a27fe001e4f8ac706e6032daba98684e2887a1a3e7758e9ae0e24

Observation 6815a255-5f92-403c-a406-0daa57900b10 · outbound

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

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion A simple framework for contrastive learning of visual representations

Reference 3

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no resolver link, observed 2026-08-07T14:25:41.524550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:41.524550Z digest=sha256:470d1a18fc1ca29f36d089e0a8c249020ee6c0f686f6d751198e81a786c01ea3

Observation 7695381b-dbd6-445b-acb7-586bd352201e · outbound

This paper cites Pix2seq: A Language Modeling Framework for Object Detection.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Pix2seq: A Language Modeling Framework for Object Detection

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:25:41.630304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:41.630304Z digest=sha256:097564978e1927dc6e3cedfb0597ffa662fe8dca0f5012044b27894b50a44ea3

Observation 33c63cf9-3e2e-4215-ada8-85d55d388162 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 5

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no resolver link, observed 2026-08-07T14:25:41.747798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:41.747798Z digest=sha256:6510fa3f65fd26e37f4eac9454633dbb52ece78327dc10dcc3a826995afb3a2b

Observation 48a071c6-3d4b-4e2f-bffb-25d64aea5eb1 · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 6

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no resolver link, observed 2026-08-07T14:25:41.836297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:41.836297Z digest=sha256:8a550a9e6bb09151b2e19cc7e85cca5641a7d3785ced2ac77d337493ae454572

Observation 288d0ccd-d231-4159-be59-242400cd12f7 · outbound

This paper cites Yolo-world: Real- time open-vocabulary object detection.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Yolo-world: Real- time open-vocabulary object detection

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.612379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:41.984356Z digest=sha256:4ead19bf5645f7000d792782edc3585b087d53b98557bb6a3160818078994512

Observation 83de4954-8d7b-44f0-9aa2-636c8924faf8 · outbound

This paper cites Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details

Reference 8

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no resolver link, observed 2026-08-07T14:25:42.104267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:42.104267Z digest=sha256:dc83a049a1aecf9205e0697f32dd4169c306a2840a19bb04fb1bf40070f3db9a

Observation b01f4f06-47e3-4fb3-ae57-d385e3b4b817 · outbound

This paper cites Reducing network agnostophobia.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Reducing network agnostophobia

Reference 9

Resolution
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raw_fallback, observed 2026-08-07T14:25:44.596905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:42.210795Z digest=sha256:1de39786cc8fd31cd8e82502c895c74fed81eececc5881185ec0faa7111b7271

Observation 9db2f7de-1b34-4bd2-9a0c-f139f406c28a · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion An image is worth 16x16 words: Transformers for image recognition at scale

Reference 10

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raw_fallback, observed 2026-08-07T14:25:44.582137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:42.302873Z digest=sha256:9eb97e95901bb0cf9e96ef177b9e9f4911eb5c015dfb51e4652aa6ee927021a5

Observation f63d6b4c-fd85-4bc0-ad99-27228d92063a · outbound

This paper cites LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:42.436018Z digest=sha256:6651ce68e40d2ea075cffe7703c6b7d4b67b4017a952c4286a4cee8bbf575ac0

Observation 19dd24c6-c3e8-4896-9945-e7cf4b572175 · outbound

This paper cites Recent advances in open set recognition: A survey.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Recent advances in open set recognition: A survey

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.566449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:42.562637Z digest=sha256:c28a6fc78f56ccbacf9b45e352f6280a0c65e7641ebb75d7d6821d7e4d820efc

Observation d1c5f081-6694-4ff2-8139-7c0bcc87d935 · outbound

This paper cites Lvis: A dataset for large vocabulary instance segmentation.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Lvis: A dataset for large vocabulary instance segmentation

Reference 13

Resolution
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raw_fallback, observed 2026-08-07T14:25:44.550654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:42.643665Z digest=sha256:f517a510711c335db3f35eef7b78a6167e93b808d3218fd8595fe66fad384e82

Observation 129904e7-f0fc-417d-a952-164a0f83f016 · outbound

This paper cites Ow- detr: Open-world detection transformer.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Ow- detr: Open-world detection transformer

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.535337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:42.746308Z digest=sha256:48fd4b1f14b5a26cf071ad849e812ba6f2534e37b698da50f2bb4a40850f6d65

Observation b5ca2b6e-0f50-4553-a3d8-05fb99cb394f · outbound

This paper cites Momentum contrast for unsupervised visual representation learning.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Momentum contrast for unsupervised visual representation learning

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.520086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:42.853037Z digest=sha256:e7fb6eb452ea436fd8530ef233a926d936d7402a8b9f65b24970671d030e3f61

Observation 1c8338aa-67bb-4a63-9bc2-2445730ab42b · outbound

This paper cites Mask r-cnn.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Mask r-cnn

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.505146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:42.964370Z digest=sha256:c179904f8d950b2d6401d14f22a0a8612f89d5bfed5de09f16cfa5854fffadaf

Observation e2ea59b2-12b6-42dc-9e04-128fea24ba2f · outbound

This paper cites T-rex2: Towards generic object detection via text-visual prompt synergy.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion T-rex2: Towards generic object detection via text-visual prompt synergy

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.103990Z digest=sha256:71be0e8a07d1513cfaacb47805fcb65af01034701bb11f7fe06567ee4d7b17b1

Observation d3a8e7ce-0b56-4ead-b1f4-6a1d7596a753 · outbound

This paper cites Segment anything.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Segment anything

Reference 18

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raw_fallback, observed 2026-08-07T14:25:44.474379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.228584Z digest=sha256:17fbdf01f8862792bbc353a22d5802c8181fee2699e8d88fa08c23f289a5304f

Observation c0219f15-f889-4c94-a70b-64a2b3560a8c · outbound

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

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Lisa: Reasoning segmentation via large language model

Reference 19

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raw_fallback, observed 2026-08-07T14:25:44.458987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.350210Z digest=sha256:3e8e53554aca600c39650324db69c052670880209d467e6e194fdafc4471d09a

Observation 95ca5c2d-c1c2-4d79-807c-bc76acb402a1 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion LLaVA-OneVision: Easy Visual Task Transfer

Reference 20

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no resolver link, observed 2026-08-07T14:25:43.465321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:43.465321Z digest=sha256:a1bce291e983045f1b1609574de8f5c06a0799e420c295f5e0b40a2d2f133c8b

Observation 0a9ca5e0-6b27-41a1-bd80-8c35644b54c7 · outbound

This paper cites Dn-detr: Accelerate detr training by introducing query denoising.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Dn-detr: Accelerate detr training by introducing query denoising

Reference 21

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raw_fallback, observed 2026-08-07T14:25:44.443299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.514620Z digest=sha256:739f167743d82f9e0ba3a95fe7dca3119dfa8482038513eb33678237d95186a9

Observation a9ccb8e4-1767-4134-806f-97bc6c3f423b · outbound

This paper cites Coda: A real-world road corner case dataset for object detection in autonomous driving.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Coda: A real-world road corner case dataset for object detection in autonomous driving

Reference 22

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raw_fallback, observed 2026-08-07T14:25:44.426559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.613826Z digest=sha256:b518a2823f4483cfe396faed5f833acdecdcfc102d350a71b59d16fd159b8919

Observation 1767c512-b56c-4a29-8389-15275d85d357 · outbound

This paper cites Desco: Learning object recognition with rich language descriptions.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Desco: Learning object recognition with rich language descriptions

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.409036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.758188Z digest=sha256:4422386ee884011d36a966ecb01b92789d04f5bb5d0bb3486d24119da49e6e1c

Observation 6188faa5-3e31-4a7e-a0f4-045ff99fa574 · outbound

This paper cites Grounded language-image pre-training.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Grounded language-image pre-training

Reference 24

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raw_fallback, observed 2026-08-07T14:25:44.393433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.847663Z digest=sha256:39a83c408d515d49110995e2887ffc7876ab2363ff0fa8e297beb4678e069766

Observation 1ea8ff82-22a0-4319-a530-fb6425cc897f · outbound

This paper cites Generative region-language pretraining for open-ended object detection.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Generative region-language pretraining for open-ended object detection

Reference 25

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raw_fallback, observed 2026-08-07T14:25:44.377953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.855977Z digest=sha256:74fcc045b9e974426dcd481162647102ae2e53f2959d927d469e8f979c91dec2

Observation b1cd2f1d-0e0a-4292-b2cf-c793afca37fb · outbound

This paper cites Training-free open-ended object detection and segmentation via attention as prompts.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Training-free open-ended object detection and segmentation via attention as prompts

Reference 26

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raw_fallback, observed 2026-08-07T14:25:44.361788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.862354Z digest=sha256:4f9a6ed9e41d75e5306bec0ae1e47f9a1eccba51a6661ad24f035ad5169da92a

Observation e459fbe4-2f7e-433e-943f-ce29b7572115 · outbound

This paper cites Visual instruction tuning.Neural Information Processing Systems (NeurIPS), 2023.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Visual instruction tuning.Neural Information Processing Systems (NeurIPS), 2023

Reference 27

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raw_fallback, observed 2026-08-07T14:25:44.344472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.867202Z digest=sha256:4e9709b7ab03308f2b9fc0a08a0e39e3569e6f6256ab72f26e6df870aee1d90b

Observation 65e03801-1900-45f7-a0fb-91aff4a1bc80 · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 28

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raw_fallback, observed 2026-08-07T14:25:44.328450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.873335Z digest=sha256:1f7b6c016c94bccbe92bc84fdaea9e9f3a746eeda389e56d85d9baefd20f317f

Observation 66878a2e-4dc8-44c5-a84a-3a94ab7d4a43 · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Swin transformer: Hierarchical vision transformer using shifted windows

Reference 29

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raw_fallback, observed 2026-08-07T14:25:44.312770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.879076Z digest=sha256:00a7792c5bdf670fb1f05de149d52233656cdd867364192eaf05921f21226366

Observation 53e798e5-d546-4307-b90d-0fb5d8dc97ad · outbound

This paper cites Capdet: Unifying dense captioning and open-world detection pretraining.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Capdet: Unifying dense captioning and open-world detection pretraining

Reference 30

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raw_fallback, observed 2026-08-07T14:25:44.296731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.884458Z digest=sha256:5173af9da5d5e769371a404af459550c78685efc80c4023196f70f6c631e2da9

Observation 86bf87f0-ecd7-4e52-9836-8ac65fd7ce75 · outbound

This paper cites Scaling open-vocabulary object detection.Neural Information Processing Systems (NeurIPS), 2023.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Scaling open-vocabulary object detection.Neural Information Processing Systems (NeurIPS), 2023

Reference 31

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raw_fallback, observed 2026-08-07T14:25:44.281439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.889852Z digest=sha256:366588957c9612d8ac25a64487f94031a2b7ac14d5cc80201788af6d6d3fa98f

Observation d0e3482c-010f-4af8-8e77-014c190f77be · outbound

This paper cites Learning transferable visual models from natural language supervision.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Learning transferable visual models from natural language supervision

Reference 32

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no resolver link, observed 2026-08-07T14:25:43.895759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:43.895759Z digest=sha256:e23bfef7f763a83dde2d3f9f358caf23a677f4fd2fd89db4ca7ae2e961282bd4

Observation 1cf861bd-aa92-4732-b410-788eb9ba0f3d · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 33

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raw_fallback, observed 2026-08-07T14:25:44.256381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.901395Z digest=sha256:cde4b416ac73568eb54f0e2467f7d6e320da24300a8dd804a3c7cd362b26c003

Observation 952f7a13-222b-4092-b791-fa62baf447d8 · outbound

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

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 34

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no resolver link, observed 2026-08-07T14:25:43.907816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:43.907816Z digest=sha256:caa8e5cc8262b0d22ebc939a6cf78369c5514c8475b1f44475f0b46ae557efee

Observation bc5ded50-7edf-402d-a22f-6193f73cc3b1 · outbound

This paper cites Scalability in perception for autonomous driving: Waymo open dataset.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Scalability in perception for autonomous driving: Waymo open dataset

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.239758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.914161Z digest=sha256:57903d1795913103f4d0f8d64428bc6b0f8a837ea47c5fa55d745a5cc34e0976

Observation 46e99aa6-694f-4db8-ab1f-aac1b4d565c3 · outbound

This paper cites OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion

Reference 36

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unresolved
no resolver link, observed 2026-08-07T14:25:43.919389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:25:43.919389Z digest=sha256:48362cfb928270c5a6b176ab68fd30e2eebdeea8ece5d3da2408d890ac48b5cf

Observation c90909b2-a67e-4f66-8a7d-cde1ca2d1edb · outbound

This paper cites Cogvlm: Visual expert for pretrained language models.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Cogvlm: Visual expert for pretrained language models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.223244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.926211Z digest=sha256:425a982ca34893e574f95e5a13dc9d955bb9d6837488d4e4578800621c6570dc

Observation f802fc6a-8f2c-467f-998a-c86d33c79d40 · outbound

This paper cites Detclipv2: Scalable open-vocabulary object detection pre-training via word-region alignment.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Detclipv2: Scalable open-vocabulary object detection pre-training via word-region alignment

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.207117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.931973Z digest=sha256:b2f68e458b28b6f791bb1670ac06585044549b4e5cb7ee337cc8a67baa4ca37d

Observation a048e2b5-a136-4b19-ae26-7e841210f4b8 · outbound

This paper cites Detclip: Dictionary-enriched visual-concept paralleled pre-training for open-world detection.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Detclip: Dictionary-enriched visual-concept paralleled pre-training for open-world detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.188398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.937160Z digest=sha256:d7bd56f935531ff4272ffa0459a1201ace0355993b435ea54ce9718c86eb5975

Observation 0cfd0a67-5e40-40cb-ad5a-0454b65051c3 · outbound

This paper cites Detclipv3: Towards versatile generative open-vocabulary object detection.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Detclipv3: Towards versatile generative open-vocabulary object detection

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.171851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.942085Z digest=sha256:9642d7e61a11966ba798c8238994d02c3ed4fb4130f7749960e3ce8eafde6aa9

Observation e33a2214-f781-4e90-92e1-5313eccf1022 · outbound

This paper cites Ni, and Heung-Yeung Shum.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Ni, and Heung-Yeung Shum

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.155459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.947653Z digest=sha256:d70c505a903a3293b13255f9917436ba8e0b43a7b6a92c106a035c88117c9e76

Observation bf19aa99-7d41-4b33-830f-9a967b0586c9 · outbound

This paper cites Llava-grounding: Grounded visual chat with large multimodal models.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Llava-grounding: Grounded visual chat with large multimodal models

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.140375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.953447Z digest=sha256:b13c8ca7514f909db1e73e11747840fcd4165248a36b3231efbe9d8268dc438e

Observation a910885d-f952-4053-a270-93fbdc12f077 · outbound

This paper cites Glipv2: Unifying localization and vision-language understanding.

VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion Glipv2: Unifying localization and vision-language understanding

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:25:44.123477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T14:25:43.959038Z digest=sha256:a42a63f4686ddbfddadc5206a0d516c873872218699456e9f204661d5510b2c2

Pith citing papers

Observation f945f4ea-7141-4be0-a3e6-3f2553c5d7f9 · inbound

Visual Prompt Based Reasoning for Offroad Mapping using Multimodal LLMs cites this paper.

Visual Prompt Based Reasoning for Offroad Mapping using Multimodal LLMs VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:25:51.983415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T19:51:59.102471Z digest=sha256:547477ec1e7d4604f4e4197f623a076cf15630e9fbac28b5d07e2e34e8a58516

Observation fdd5e044-6917-4c84-b422-71aaa53799e8 · inbound

VL-SAM-v3: Memory-Guided Visual Priors for Open-World Object Detection cites this paper.

VL-SAM-v3: Memory-Guided Visual Priors for Open-World Object Detection VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T11:01:30.268838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T01:24:56.236650Z digest=sha256:c140f80deeaaee7a0f28bc3e82bb53d748ed8ef361e52764e8bd84013cb4b241

Observation d0f78be8-c593-4474-959b-3a09d910a640 · inbound

VL-SAM-v3: Memory-Guided Visual Priors for Open-World Object Detection cites this paper.

VL-SAM-v3: Memory-Guided Visual Priors for Open-World Object Detection VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:00:35.844779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T19:14:12.092478Z digest=sha256:bd64e9b5b698c7d9aac9a7f3c00edc2ee425133d1d7efb68ef9c6be7f59fdfb8

Observation 36545036-448a-4b16-a2fa-2703d6456869 · inbound

VL-SAM-v3: Memory-Guided Visual Priors for Open-World Object Detection cites this paper.

VL-SAM-v3: Memory-Guided Visual Priors for Open-World Object Detection VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:51:48.393215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:33:55.317107Z digest=sha256:ce76a686b29af4ef643fb9712b66d7767cf603440edd54fda35db0f6c4286076

Observation 0e043359-7b35-4c85-b811-1538a58c95d3 · inbound

FoodCHA: Multi-Modal LLM Agent for Fine-Grained Food Analysis cites this paper.

FoodCHA: Multi-Modal LLM Agent for Fine-Grained Food Analysis VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:21:09.469192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T16:11:26.104498Z digest=sha256:24f4d9743bd85aba8705d84fecc42e52a093d7745c17187987fb34eeefda3c7a

Observation 3bae7f73-e0ef-4b89-8e37-602e64d41309 · inbound

3DVLA: Enhancing Vision-Language-Action Models via 3D Spatial and Instance Understanding cites this paper.

3DVLA: Enhancing Vision-Language-Action Models via 3D Spatial and Instance Understanding VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:13:16.671658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T07:07:59.925795Z digest=sha256:99d3214948a19c8e7b289c74bc67b0a3fa0217993de5e2a627407d490a74a8e5

Observation 0aeb88e6-1235-4112-9af7-b80b89eb9aba · inbound

DrivingAgent: Design and Scheduling Agents for Autonomous Driving Systems cites this paper.

DrivingAgent: Design and Scheduling Agents for Autonomous Driving Systems VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:17:58.077080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T10:05:38.910257Z digest=sha256:e49f08bcea95efe7021dd40b3d5faf076507dfcbef36ca37f7d5c5f412ec6d7d