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Paper Citation Record · LEDGER

SORCE: Small Object Retrieval in Complex Environments

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.24441.

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

pith.paper-citation-record.v1
2505.24441 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:27:31.900376Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy18
  • unresolved25
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5acbcf90-cf7e-4d06-b3de-ba888e6a9bfb · outbound

This paper cites X-detr: A versatile architecture for instance-wise vision-language tasks.

SORCE: Small Object Retrieval in Complex Environments X-detr: A versatile architecture for instance-wise vision-language tasks

Reference 1

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raw_fallback, observed 2026-08-07T12:27:35.456632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f32e6da4-2021-479b-9e9e-fcaa91e5a35b · outbound

This paper cites Sharegpt4v: Improving large multi-modal models with better captions.

SORCE: Small Object Retrieval in Complex Environments Sharegpt4v: Improving large multi-modal models with better captions

Reference 2

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source=pdf_text observed=2026-08-07T12:27:27.837332Z digest=sha256:f235b7ab0a6ba622199f8717ec5ddd54e1173bc05279c2a01343641258370161

Observation 9387a1d4-f76b-4651-820f-fe0187b64db0 · outbound

This paper cites Learning local similarity with spatial relations for object retrieval.

SORCE: Small Object Retrieval in Complex Environments Learning local similarity with spatial relations for object retrieval

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:27:27.933126Z digest=sha256:221dec9b3a9ce44001a9118aea1fe249c98301955dd6beb1b15e5fbb4dd41a02

Observation 082977d1-44db-463c-a5ba-4a4e62f6ed8b · outbound

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

SORCE: Small Object Retrieval in Complex Environments Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 4

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:27:28.026719Z digest=sha256:053d373434a6bc7d26f35e88cf112ef8b8236089ecd512c3fc813b244c1691cf

Observation 5bd15887-e3ae-427e-90c2-d45e6b7eaf93 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.Advances in neural information processing systems, 36:10088– 10115, 2023.

SORCE: Small Object Retrieval in Complex Environments Qlora: Efficient finetuning of quantized llms.Advances in neural information processing systems, 36:10088– 10115, 2023

Reference 5

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source=pdf_text observed=2026-08-07T12:27:28.128917Z digest=sha256:d6ea657fdb6bcea0f17d859f122cefcfefffe5bfa920ea2aad2a805aac22f5f9

Observation d3838025-9c10-4428-a4b3-b08ff2acc72b · outbound

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

SORCE: Small Object Retrieval in Complex Environments MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:28.204348Z digest=sha256:8071580ee5b2fd4a17e2a07d9c2baf3ed01f82f3d58fc6742574332eeb99bd1b

Observation afb5e2b4-a51b-438a-b829-241e933bcf21 · outbound

This paper cites Efficient diffusion on region manifolds: Recovering small objects with compact cnn representations.

SORCE: Small Object Retrieval in Complex Environments Efficient diffusion on region manifolds: Recovering small objects with compact cnn representations

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:27:28.295713Z digest=sha256:e1250791b837e6936e1bcfec975d3cdd9c0ae97d9d9301de3930b0569dc84c9d

Observation 75a1b733-ddb9-48e8-8168-a90b202f97b9 · outbound

This paper cites Scaling sen- tence embeddings with large language models.

SORCE: Small Object Retrieval in Complex Environments Scaling sen- tence embeddings with large language models

Reference 8

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source=pdf_text observed=2026-08-07T12:27:28.391753Z digest=sha256:876ebddb2e55ade2317ee3c94493f1e36ee688e13da2d27d577ac127098c858f

Observation f1d3f6d5-968a-4429-a8d9-9bdfe5c71934 · outbound

This paper cites E5-V: Universal Embeddings with Multimodal Large Language Models.

SORCE: Small Object Retrieval in Complex Environments E5-V: Universal Embeddings with Multimodal Large Language Models

Reference 9

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source=pdf_text observed=2026-08-07T12:27:28.457180Z digest=sha256:e92eaf1e25857cc09959081b743946c4e0b444cd6d8478bf7b4bec9404546005

Observation 786e7fc5-0611-43ba-bb1d-80d72bde548b · outbound

This paper cites Seed-bench: Benchmarking multimodal large language models.

SORCE: Small Object Retrieval in Complex Environments Seed-bench: Benchmarking multimodal large language models

Reference 10

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source=pdf_text observed=2026-08-07T12:27:28.549834Z digest=sha256:dbc2f1b47f6c03423c43143cf57b7731fb11e1154d0ef6f7bca88360847c59ae

Observation fb7b339f-9a49-46f0-8d2b-a784f67123e2 · outbound

This paper cites Llava-next: What else influences visual instruction tuning beyond data?, 2024.

SORCE: Small Object Retrieval in Complex Environments Llava-next: What else influences visual instruction tuning beyond data?, 2024

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:27:28.617327Z digest=sha256:860e497fba0a6183d810468fbc49cbc8a04c3960eda77310a1dfa0dc125d1971

Observation b6a7c232-f9ac-420e-b419-9c6133a1cad1 · outbound

This paper cites Llava-next: Stronger llms supercharge multimodal capabilities in the wild, 2024.

SORCE: Small Object Retrieval in Complex Environments Llava-next: Stronger llms supercharge multimodal capabilities in the wild, 2024

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:28.735559Z digest=sha256:62f7df94782cda6a23969b4b463085cc107d59788a1c600ffba5ad395d0a8cc8

Observation 8a0f6620-4a1f-4694-a4de-327eb677aca7 · outbound

This paper cites Percep- tual generative adversarial networks for small object detection.

SORCE: Small Object Retrieval in Complex Environments Percep- tual generative adversarial networks for small object detection

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 035a3965-b246-4700-9d7a-e32a1707cc87 · outbound

This paper cites MM-EMBED: UNIVERSAL MULTIMODAL RETRIEV AL WITH MULTIMODAL LLMS.

SORCE: Small Object Retrieval in Complex Environments MM-EMBED: UNIVERSAL MULTIMODAL RETRIEV AL WITH MULTIMODAL LLMS

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:27:28.868805Z digest=sha256:88ae56d4e80a42e17067b8926a33546cda4a894f697e39197de7a82bd38e6b6f

Observation 0493bd73-1f8f-4ed4-aa54-f3031d0d9c89 · outbound

This paper cites Microsoft coco: Common objects in context.

SORCE: Small Object Retrieval in Complex Environments Microsoft coco: Common objects in context

Reference 15

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raw_fallback, observed 2026-08-07T12:27:34.513467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:27:28.979561Z digest=sha256:1462cf9824d5fcafc68059f4bd35f2a22a62e4baa7a39946c9b41ca9544f6969

Observation afa3afed-c927-4c34-902d-16570e92d1ec · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

SORCE: Small Object Retrieval in Complex Environments Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 16

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:27:29.076060Z digest=sha256:8294089be7df877543338fee7e2a5579253543f8a9cab585ae896e7121007dc4

Observation faecee95-0ffa-43cf-a949-802bba27e520 · outbound

This paper cites Improved baselines with visual instruction tuning.

SORCE: Small Object Retrieval in Complex Environments Improved baselines with visual instruction tuning

Reference 17

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source=pdf_text observed=2026-08-07T12:27:29.154729Z digest=sha256:f43264c928096275f845883e93377a012f9ad9ee7211c36c8fbb5fd4d5f6a6ee

Observation 08c2aaaa-3685-479d-929b-8fa04af701f0 · outbound

This paper cites LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant.

SORCE: Small Object Retrieval in Complex Environments LamRA: Large Multimodal Model as Your Advanced Retrieval Assistant

Reference 18

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Observation 9e4d2ed3-ca1e-4ae3-ba0d-261cb8c01d88 · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? InEuropean conference on computer vision, pages 216–233.

SORCE: Small Object Retrieval in Complex Environments Mmbench: Is your multi-modal model an all-around player? InEuropean conference on computer vision, pages 216–233

Reference 19

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Observation 4a131a72-e5dd-401f-b056-33755cf988e6 · outbound

This paper cites Image retrieval on real-life images with pre-trained vision-and-language models.

SORCE: Small Object Retrieval in Complex Environments Image retrieval on real-life images with pre-trained vision-and-language models

Reference 20

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raw_fallback, observed 2026-08-07T12:27:34.327250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d92e25eb-5287-4d27-96fa-15c807dd1afe · outbound

This paper cites Scaling open-vocabulary object detection.Advances in Neural Information Processing Systems, 36:72983–73007, 2023.

SORCE: Small Object Retrieval in Complex Environments Scaling open-vocabulary object detection.Advances in Neural Information Processing Systems, 36:72983–73007, 2023

Reference 21

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Observation fb909ef7-ae4a-41d8-93d6-8ffaeb99cdef · outbound

This paper cites Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection.

SORCE: Small Object Retrieval in Complex Environments Better to follow, follow to be better: Towards precise supervision of feature super-resolution for small object detection

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:27:29.748307Z digest=sha256:b2ae3ae282375ccd649e04d9994de5c19441d32873e82e6d8c1c74d8b829f098

Observation b4ff8d53-7421-40ef-9996-2c15b562cfd0 · outbound

This paper cites Docci: Descriptions of connected and contrasting images.

SORCE: Small Object Retrieval in Complex Environments Docci: Descriptions of connected and contrasting images

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f75c1ba7-8550-4fc1-8cae-28f0ebf1bd75 · outbound

This paper cites VladVA: Discriminative Fine-tuning of LVLMs.

SORCE: Small Object Retrieval in Complex Environments VladVA: Discriminative Fine-tuning of LVLMs

Reference 24

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source=pdf_text observed=2026-08-07T12:27:29.993325Z digest=sha256:f3fe1efc3ed3091220e060768d595691380ae1af7f0b5a4a493a37cbd555a888

Observation 05149fda-196f-4cae-89cc-2e2e14a27fca · outbound

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

SORCE: Small Object Retrieval in Complex Environments Learning transferable visual models from natural language supervision

Reference 25

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source=pdf_text observed=2026-08-07T12:27:30.084532Z digest=sha256:a2a25f95e6239390c75059c40037dd55921a8298b894e5540b80a0d712d61dd3

Observation 31ce158a-37cc-406d-bdd9-18a8a77ad55c · outbound

This paper cites Dino-x: A unified vision model for open-world object detection and understanding, 2024.

SORCE: Small Object Retrieval in Complex Environments Dino-x: A unified vision model for open-world object detection and understanding, 2024

Reference 26

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raw_fallback, observed 2026-08-07T12:27:33.867265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c8a04ad2-a163-4499-bcc0-a5353dcccade · outbound

This paper cites Small-object sensitive segmentation using across feature map attention.IEEE transactions on pattern analysis and machine intelligence, 45(5):6289–6306, 2022.

SORCE: Small Object Retrieval in Complex Environments Small-object sensitive segmentation using across feature map attention.IEEE transactions on pattern analysis and machine intelligence, 45(5):6289–6306, 2022

Reference 27

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raw_fallback, observed 2026-08-07T12:27:33.693837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 35b687a2-3862-4606-8873-612e4c0291a6 · outbound

This paper cites Image retrieval for image- based localization revisited.

SORCE: Small Object Retrieval in Complex Environments Image retrieval for image- based localization revisited

Reference 28

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raw_fallback, observed 2026-08-07T12:27:33.502070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 855e13de-0145-4680-bb36-e5ec5006213c · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

SORCE: Small Object Retrieval in Complex Environments EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 29

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Observation 2be028a4-f85b-4b14-8ddc-729dfe973335 · outbound

This paper cites Miss detection vs.

SORCE: Small Object Retrieval in Complex Environments Miss detection vs

Reference 30

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raw_fallback, observed 2026-08-07T12:27:33.379077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 098cba67-c06a-4240-8829-9ea0945a0440 · outbound

This paper cites Improving text embeddings with large language models.

SORCE: Small Object Retrieval in Complex Environments Improving text embeddings with large language models

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-07T12:27:33.219619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 98227880-d02f-49b8-9879-a12f90142d59 · outbound

This paper cites Uniir: Training and benchmarking universal multimodal information retrievers.

SORCE: Small Object Retrieval in Complex Environments Uniir: Training and benchmarking universal multimodal information retrievers

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:30.759861Z digest=sha256:1e7a0998c7f0d4a2912323a25bd2f7ace357e7c43f43c94d78f5c00a7a461685

Observation 379019e9-0448-49de-9fb1-cf557d1cecf0 · outbound

This paper cites V*: Guided visual search as a core mechanism in multimodal llms.

SORCE: Small Object Retrieval in Complex Environments V*: Guided visual search as a core mechanism in multimodal llms

Reference 33

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:27:30.838873Z digest=sha256:33940faa6397e8e940b62ff3db21147151f62dfaea2e81617722c4be5abe1cd8

Observation 485bf210-903f-4d24-a5f7-c2ce8ff02b0f · outbound

This paper cites Described object detection: Liberating object detection with flexible expressions.Advances in Neural Information Processing Systems, 36:79095–79107, 2023.

SORCE: Small Object Retrieval in Complex Environments Described object detection: Liberating object detection with flexible expressions.Advances in Neural Information Processing Systems, 36:79095–79107, 2023

Reference 34

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raw_fallback, observed 2026-08-07T12:27:33.008238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:27:30.903267Z digest=sha256:bdca922af52ce78da02e85072f1ffe24783c4a2ac49c2a6492043b459cfb19a0

Observation 805ce06b-6f2a-4379-bf0c-632ad6d7b6dd · outbound

This paper cites Querydet: Cascaded sparse query for accelerating high-resolution small object detection.

SORCE: Small Object Retrieval in Complex Environments Querydet: Cascaded sparse query for accelerating high-resolution small object detection

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:32.813662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:27:30.987407Z digest=sha256:43d603d8b36e5d7c22338876981b4c9ed37ea54d4095d35f29f66ddc96f8a4c1

Observation 036e2909-c154-4e1e-8401-ca7a96da7bc7 · outbound

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

SORCE: Small Object Retrieval in Complex Environments From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:31.099504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:31.099504Z digest=sha256:c18dcc3e4be00d1468abc7f5fa6934418d31a01c672e1efcfc764a6068bfbf7e

Observation cd9e4d0e-0d54-4216-8cfa-e18dac7098e2 · outbound

This paper cites Modeling context in referring expressions.

SORCE: Small Object Retrieval in Complex Environments Modeling context in referring expressions

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:31.173327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:31.173327Z digest=sha256:f9c4d9ff7fa56d714ed64d16ed510432d0badd80bfa8e8fc450dd117bdf06cd3

Observation eb48f2dc-991f-4d69-8861-9f1063a0235e · outbound

This paper cites Sigmoid loss for language image pre-training.

SORCE: Small Object Retrieval in Complex Environments Sigmoid loss for language image pre-training

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:31.311495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:31.311495Z digest=sha256:bf7e04b247fcc1114adc47762808097bd249fff194a6f5dbeb04a1c54b179119

Observation 513f8cbf-138c-4b0c-b682-9822fcc6700c · outbound

This paper cites Long-clip: Unlocking the long-text capability of clip.

SORCE: Small Object Retrieval in Complex Environments Long-clip: Unlocking the long-text capability of clip

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:31.530724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:31.530724Z digest=sha256:f5792dd29d99ef3d8e7d937c7002ffe126c09273fcabad3a5783fdb0d15e263f

Observation 2d6ac876-1bf0-4d7e-b860-dea9d3e4042e · outbound

This paper cites A simple framework for open-vocabulary segmentation and detection.

SORCE: Small Object Retrieval in Complex Environments A simple framework for open-vocabulary segmentation and detection

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:31.647153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:31.647153Z digest=sha256:c02565284a690fba14655960ca3fef2beae3a0bed3565628fc0195d45abbf152

Observation 69637d68-5504-445c-a0b9-8cbbb00a66ce · outbound

This paper cites GME: Improving Universal Multimodal Retrieval by Multimodal LLMs.

SORCE: Small Object Retrieval in Complex Environments GME: Improving Universal Multimodal Retrieval by Multimodal LLMs

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:27:31.738988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:31.738988Z digest=sha256:29bc373c487dfeb78b08a190e98d8a1d475553d2a68df08a5423f4e509c9d440

Observation 14c5c1ac-78b0-4090-b9b3-0fa678ce33bd · outbound

This paper cites Vista: Visualized text embedding for universal multi-modal retrieval.

SORCE: Small Object Retrieval in Complex Environments Vista: Visualized text embedding for universal multi-modal retrieval

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:32.534564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:27:31.818367Z digest=sha256:074377c40bb0e24fcd8cc66bdeb7bcbc80f1a2540894ba10a94346b3e6ee75ae

Observation 7d8cf7c5-6a1f-411d-9632-00d2e5fea2cb · outbound

This paper cites Summarize the [main component/ background/ detail] in the above image in one word:.

SORCE: Small Object Retrieval in Complex Environments Summarize the [main component/ background/ detail] in the above image in one word:

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:27:32.235066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T12:27:31.900376Z digest=sha256:41bfa2dc2b45fdaedb1568827af5c464ef40bf2f529d92da4acd4f7b5704500d

Pith citing papers

No inbound Pith citation observations are available.