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Paper Citation Record · LEDGER

LV-OSD: Language-Vision-Complementary Open-Set Object Detection

As of 21 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2605.28271.

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

pith.paper-citation-record.v1
2605.28271 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T13:44:59.042817Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

50 of 50 outbound references displayed

  • verified exact9
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87a918d1-183f-42e0-a1b9-362b332d500b · outbound

This paper cites You only look once: Unified, real-time object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection You only look once: Unified, real-time object detection

Reference 1

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:2df8c42a651cab58cc42c3c4d92aa777145e2c893c3e8c71bf97d0166d389df7

Observation 34ecc6ad-c675-42a4-a0d1-37d45b581dbf · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137– 1149, 2016.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Faster r-cnn: Towards real-time object detection with region proposal networks.IEEE transactions on pattern analysis and machine intelligence, 39(6):1137– 1149, 2016

Reference 2

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Observation 4188f607-7e64-4cd0-9171-d571ed77e1b7 · outbound

This paper cites Towards open-set object detection and discovery.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Towards open-set object detection and discovery

Reference 3

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Observation 32f95a26-a31d-44cb-aa80-0fe9d33612f0 · outbound

This paper cites Open-vocabulary object detection using captions.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Open-vocabulary object detection using captions

Reference 4

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:0c06c0d0679edbba010d8c220678ed7d90c2d39503b8e21a35b9314d1fef7aba

Observation b47fa664-f21c-45a9-8217-3fa710ec5627 · outbound

This paper cites Few-shot object detection via improved classification features.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Few-shot object detection via improved classification features

Reference 5

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:bb073ee1bc0d44656c3902fe042b1b21f3a26f475b4aa547ec9235d3a43c0ebf

Observation 18eb45d4-32ac-4af8-ad9f-661ab2cc6d7e · outbound

This paper cites Fine-grained prototypes distillation for few-shot object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Fine-grained prototypes distillation for few-shot object detection

Reference 6

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:2f8b3b21c34e1101c5c92641a1ef85aa7ec03ab14787ae29e54eccb561580b7d

Observation c77f19ae-e0cb-4dfb-97e1-2fb93358f8fe · outbound

This paper cites Balanced and hierarchical relation learning for one-shot object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Balanced and hierarchical relation learning for one-shot object detection

Reference 7

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:884c03cf441f5be81485a1780d6fc5060b6478cba4604e82dcc9c1b163e5ccbe

Observation 23bf707e-492c-40b4-be0a-3db009814610 · outbound

This paper cites Exploring base-class suppression with prior guidance for bias-free one-shot object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Exploring base-class suppression with prior guidance for bias-free one-shot object detection

Reference 8

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:d2f06e7789fe6eaaca3a7278a6dd5076ce33c99996091d68760cb0010f6c2468

Observation af8cb5aa-8e1a-441f-9ae4-c20726d5cf2e · outbound

This paper cites Toward generalized few-shot open-set object detection.IEEE Transactions on Image Processing, 33:1389–1402, 2024.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Toward generalized few-shot open-set object detection.IEEE Transactions on Image Processing, 33:1389–1402, 2024

Reference 9

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:6372bf1db3b8b51ec652465bf53f6168b4b5f0347f69962e3ac1e97a117c61f0

Observation 974810d2-5f98-4dc4-9e89-d722a3bb6fd5 · outbound

This paper cites Open-vocabulary detr with conditional matching.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Open-vocabulary detr with conditional matching

Reference 10

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:357ab2111fa8673035d769b11b42048c940d54a89da75ec74f438f04b7db7897

Observation ac4dde01-1573-479f-bf7c-fb4ff4503155 · outbound

This paper cites Multi-modal classi- fiers for open-vocabulary object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Multi-modal classi- fiers for open-vocabulary object detection

Reference 11

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:efa95b1d6e53fed72e2728166210d623e37d992dbcd94e1361b07135223c40d1

Observation 9d095ee4-dce3-43aa-ae41-43c2cccbf28c · outbound

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

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Learning transferable visual models from natural language supervision

Reference 12

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:5855d958a0ee2fcd528b37d9c01da7325d39594e0c33194e14309aab50c7482c

Observation 47b3a35f-23b0-4496-bae6-8eea7f965ba8 · outbound

This paper cites Contrastive feature masking open-vocabulary vision transformer.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Contrastive feature masking open-vocabulary vision transformer

Reference 13

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:e6849d7ee464d0b45809a011088ca44ec243c4b57b63858d472950e662b5fa38

Observation 39702702-2fd3-406d-9c81-0a3cfd6eda72 · outbound

This paper cites Region-centric Image-Language Pretraining for Open-Vocabulary Detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Region-centric Image-Language Pretraining for Open-Vocabulary Detection

Reference 14

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:f44b634ed93137ced38eded6b34b6a4e7bd8fff9fd368e8f9cd8f5cefcfea2f1

Observation f0230875-16a3-4f44-a1e4-15c9ac1c4267 · outbound

This paper cites Region-aware pre- training for open-vocabulary object detection with vision transformers.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Region-aware pre- training for open-vocabulary object detection with vision transformers

Reference 15

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:5f7d60d390783f7b2e3b5c52871a92c1eef2425921381c041bfde94698b49533

Observation 78a01b33-2587-4192-9ce6-2a9157861902 · outbound

This paper cites Cora: Adapting clip for open-vocabulary detection with region prompting and anchor pre-matching.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Cora: Adapting clip for open-vocabulary detection with region prompting and anchor pre-matching

Reference 16

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:784a90d44cce5e9fd0c1d24dc0f2ac3237b5d408c3e0d4bb9e4a89009884c10d

Observation 7ba7fd08-971b-4b7a-8b4d-6edc506a847e · outbound

This paper cites Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Prompt-Guided Transformers for End-to-End Open-Vocabulary Object Detection

Reference 17

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:b00c4b67638a92864a2acde8edec808fe962aad44b72db26ab7288e4bb29aee1

Observation db26f206-b1f7-48e7-82a2-e5ce6f049a49 · outbound

This paper cites Detecting twenty-thousand classes using image-level supervision.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Detecting twenty-thousand classes using image-level supervision

Reference 18

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:362a4cf2be6b43647c6dcf1bc48d68fd79cc24538f7b26ef3fcab1390110189c

Observation fee58c77-b20d-4885-8e66-f192a68d23da · outbound

This paper cites Regionclip: Region-based language-image pretraining.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Regionclip: Region-based language-image pretraining

Reference 19

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:37176d7f778e6e9ccf2901231db5b3162a4253d8c6a5a99b942b0460178dc49e

Observation 8d625fde-35c2-4cf8-a1fe-a0fccd755c7f · outbound

This paper cites Proxydet: Synthesizing proxy novel classes via classwise mixup for open-vocabulary object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Proxydet: Synthesizing proxy novel classes via classwise mixup for open-vocabulary object detection

Reference 20

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:37cecd0f50a8067ca6352511a22e7cd1aafdd5dae1a68f30a3045d7181a11398

Observation c739480a-c4fa-4399-99f2-88f5168f6575 · outbound

This paper cites Codet: Co-occurrence guided region-word alignment for open-vocabulary object detection.Advances in neural information processing systems, 36, 2024.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Codet: Co-occurrence guided region-word alignment for open-vocabulary object detection.Advances in neural information processing systems, 36, 2024

Reference 21

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:59e6907c807fa31afdd7bf1d74531294e5a33e398d53f3ca419d132a198c81ee

Observation 62634be7-de25-4051-afa8-3216c18b24ba · outbound

This paper cites Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 22

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local_arxiv, observed 2026-06-29T13:53:28.937564Z

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:3cb25d623a13848dbf933506f8bccb7c0fef8e85c179e4043ae435d6b4cf3c6f

Observation 6cf1dd02-af54-4864-9658-54b9a8f6b62c · outbound

This paper cites Lp-ovod: Open-vocabulary object detection by linear probing.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Lp-ovod: Open-vocabulary object detection by linear probing

Reference 23

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:4596d0b386c546fac8498656c26fc9d6359ac0c43839c8e5a5f43cdb1ca4762e

Observation 286aa16e-7423-4db2-bede-ad6d81c7e353 · outbound

This paper cites Bridging the gap between object and image-level representations for open-vocabulary detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Bridging the gap between object and image-level representations for open-vocabulary detection

Reference 24

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:3a511eebfcdfe2eb2d2c325933bbbe9b5c793b7e5e7cc76975fb66e889748b8d

Observation 501f3117-e6ac-488a-9fff-d3601070019a · outbound

This paper cites Distilling detr with visual-linguistic knowledge for open-vocabulary object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Distilling detr with visual-linguistic knowledge for open-vocabulary object detection

Reference 25

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:24e437d4ed463db981be42ee620b4b945686168de35901e772959cf775837350

Observation 8a214438-1a3e-4d25-b5fa-3896d4dc21ff · outbound

This paper cites Learning to prompt for open-vocabulary object detection with vision-language model.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Learning to prompt for open-vocabulary object detection with vision-language model

Reference 26

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Observation b7aeed7d-d168-43ee-adea-6bbe2b876d95 · outbound

This paper cites F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection F-VLM: Open-Vocabulary Object Detection upon Frozen Vision and Language Models

Reference 27

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:481e2627cdde85e962b990408c182a21a974ddc3a9b785b982aedc655ab2f908

Observation 7fb8cad5-9bb0-4a2a-a481-d87715022c2e · outbound

This paper cites Simple Open-Vocabulary Object Detection with Vision Transformers.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Simple Open-Vocabulary Object Detection with Vision Transformers

Reference 28

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:059c9b5136a600c0f3d7df109301e70f1dc902110e82bac0f2d7b603686e2fb0

Observation 2bf167c7-b5f3-4995-8c30-2ed54fdedc5b · outbound

This paper cites CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction

Reference 29

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:bcf1a55f42f8ab2683492ec174e6ece58251c957f2f24d4b2eba322904acc890

Observation 63a64a85-d338-4d56-942e-362b6b2e3d44 · outbound

This paper cites Dst-det: Open-vocabulary object detection via dynamic self-training.IEEE Transactions on Circuits and Systems for Video Technology, 2024.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Dst-det: Open-vocabulary object detection via dynamic self-training.IEEE Transactions on Circuits and Systems for Video Technology, 2024

Reference 30

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:df9d9cb2605066fdfbdb20a6f546b61bd8376d19de0c28dca89724313e02b656

Observation dcad1189-4599-44c3-98ec-2a178cd75c33 · outbound

This paper cites Declip: Decoupled learning for open-vocabulary dense percep- tion.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Declip: Decoupled learning for open-vocabulary dense percep- tion

Reference 31

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:3b4f98aaeb566e098664eac14e7b0c9384dbbf3881005322681d4f91bd0a880c

Observation 1629db98-2b36-4bd6-bf3a-b571a5233aa7 · outbound

This paper cites Integrally migrating pre-trained trans- former encoder-decoders for visual object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Integrally migrating pre-trained trans- former encoder-decoders for visual object detection

Reference 32

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:c4d217bd8f648dbf9d6bc3b35f5407e1cf6a7dbebc26c430e6068b267db9a2fd

Observation 0c5d1415-7d24-4dc1-befc-f0b10732e607 · outbound

This paper cites Snida: Unlocking few-shot object detection with non-linear semantic decoupling augmentation.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Snida: Unlocking few-shot object detection with non-linear semantic decoupling augmentation

Reference 33

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:8679e78c0ba671f7cfb2253d07e791ce8e5249da2d12b44ed1d7b581bb61cd8b

Observation 721044c7-0a02-46d9-bbbe-44aa382f8519 · outbound

This paper cites Temporal speciation network for few- shot object detection.IEEE Transactions on Multimedia, 25:8267–8278, 2023.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Temporal speciation network for few- shot object detection.IEEE Transactions on Multimedia, 25:8267–8278, 2023

Reference 34

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:4f82c90baed8ee0d68d3e08175828b2b813e13b2f3be837dc1a522de460dd918

Observation 2e38df3a-b4bc-49cb-ac87-321c35e2c0f5 · outbound

This paper cites Binary similarity few-shot object detection with modeling of hard negative samples.IEEE Transactions on Multimedia, 26:4805–4818, 2024.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Binary similarity few-shot object detection with modeling of hard negative samples.IEEE Transactions on Multimedia, 26:4805–4818, 2024

Reference 35

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Observation 427068c3-c705-4ca0-95cf-6d7ae3cec0af · outbound

This paper cites an unresolved cited work.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Unresolved cited work

Reference 36

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:fe5d1542606673f25bf7725d882ef1cd75958fa3e10ec848ca2c7d39c5eb6ec8

Observation c9fe0c13-48c9-40e9-a1c0-3203babdb534 · outbound

This paper cites Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning.Advances in Neural Information Processing Systems, 35:17612–17625, 2022.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning.Advances in Neural Information Processing Systems, 35:17612–17625, 2022

Reference 37

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Observation 70d479f5-c23d-42f1-86d7-dd2c19b238b9 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 38

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local_arxiv, observed 2026-06-29T13:53:28.947380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5bc5ad43-1aa2-4bc4-a926-492004439a8b · outbound

This paper cites ImageNet-21K Pretraining for the Masses.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection ImageNet-21K Pretraining for the Masses

Reference 39

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arxiv_id, observed 2026-06-29T13:53:28.939534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:6e304b24a5c9cbda46594c35dcf4d6df3bc9f188c0984eac488d7a6e594c5dc2

Observation e8f6047e-bf48-4cbd-bb70-072ea733a698 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning

Reference 40

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Observation f496e509-b670-4d76-8b31-391426fab067 · outbound

This paper cites Mdetr-modulated detection for end- to-end multi-modal understanding.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Mdetr-modulated detection for end- to-end multi-modal understanding

Reference 41

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Observation a30b79f7-7483-40da-b3bc-a0fce05a08ad · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.International journal of computer vision, 123:32–73, 2017.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Visual genome: Connecting language and vision using crowdsourced dense image annotations.International journal of computer vision, 123:32–73, 2017

Reference 42

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:15f33d04091e2e0252f5dcdbc37d70bfc2e5535c610c69ccbfdb30e2597dee77

Observation a1fd050b-3ed2-44b3-958f-0d2b1f881e57 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Scaling up visual and vision-language representation learning with noisy text supervision

Reference 43

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:325c5fb4506a8df8a3aa616167f933fc02b773d087c8e7cafc60f71d00804517

Observation db6b726c-5b04-4e76-b498-f8a71b62e203 · outbound

This paper cites Learning background prompts to discover implicit knowledge for open vocabulary object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Learning background prompts to discover implicit knowledge for open vocabulary object detection

Reference 44

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:1402246f1abd8f3fdbbf4b8c5be7bd0ea03db721f92a078add72ed5c97d0fe12

Observation 039dc52c-1038-45ec-a4a2-2195e0198663 · outbound

This paper cites Ov-dquo: Open-vocabulary detr with denoising text query training and open-world unknown objects supervision.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Ov-dquo: Open-vocabulary detr with denoising text query training and open-world unknown objects supervision

Reference 45

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:148e6d175663bee6f66d99e827454a25dcbb05646c6c6cf2dde76bb5554ad36c

Observation 517c319a-d7fb-4b55-b901-e13c2743ef8e · outbound

This paper cites Object-aware distillation pyramid for open-vocabulary object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Object-aware distillation pyramid for open-vocabulary object detection

Reference 46

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:a6de4848ae299cca1018f687fc326ef44aab1f79e0cc05451ebc0e22bca13355

Observation 8d3399db-d4dd-4ae7-8a1f-4b6863049452 · outbound

This paper cites Taming self-training for open-vocabulary object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Taming self-training for open-vocabulary object detection

Reference 47

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:8079326b46ec490495f785fc1666e5cf49ce87d42dbd8e473a0e45b55d068200

Observation 6fa23255-6f2a-42dc-9202-c37bd7575a16 · outbound

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

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Yolo-world: Real-time open-vocabulary object detection

Reference 48

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:72f448e9aab274cb1a0ab21430672748abd94e0cf522c9670e46e16bbb1a9e6d

Observation 851fd58c-f2aa-4de8-9ec6-7aa79227dbeb · outbound

This paper cites Yoloe: Real-time seeing anything.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Yoloe: Real-time seeing anything

Reference 49

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verified exact
arxiv_id, observed 2026-06-29T13:53:28.933733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:0d778cf55396eee825060b53727edb1f0b15833bdc0eeccbdf3848e337ea6e2b

Observation 2d82705b-4d18-425b-8455-3531ce73c74d · outbound

This paper cites Objects365: A large-scale, high- quality dataset for object detection.

LV-OSD: Language-Vision-Complementary Open-Set Object Detection Objects365: A large-scale, high- quality dataset for object detection

Reference 50

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source=pdf_text observed=2026-06-29T13:44:59.042817Z digest=sha256:538341171ecc8a7a93017826de33fbdae3f2a5856dc8531a9d7e12b04e99e7c5

Pith citing papers

No inbound Pith citation observations are available.