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Paper Citation Record · LEDGER

SORCE: Small Object Retrieval in Complex Environments

As of 15 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 2026-08-15T06:32:42.880941+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
  • metadata mismatch0

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:27:27.837332Z digest=sha256:0a6cff451b2ce32a1df1877cb45c348ea23732d6a2b6552a17d7c721a65f734b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:27.933126Z digest=sha256:23866ba737be14219bf8f7fed7a02c6ac3c59ec56228a5e2d92bae485770a4a7

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=sha256:8105297dab4ab7d5ac3215e08e36d6bdc97692129ba24d6417b06ba4b39c0bc2

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=sha256:18539b2c72da4f14add9cd23f34912b6070eb36966ed9595c0e0594e596f4cce

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=sha256:59247e3fda56b186db2b520227c9f0b21b5bdb84da8a5d447911cae78de0e3ad

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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no resolver link, observed 2026-08-07T12:27:28.295713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:28.295713Z digest=sha256:caa8f2d1709e040aa6746507940ea2ac31d721488f0629b8abc6c1b03283529f

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-reported events for the cited work

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source=pdf_text observed=2026-08-07T12:27:28.391753Z digest=sha256:13273a842df6ee3905358bf1c7726b59439f1a6701aee00b55b0d15f91523e47

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-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:28.457180Z digest=sha256:d182632ba42e680c14e28e649de965dc4f1824e20cbccc0b69903a721dfe32fc

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:bda3069437ece7a7cd2510bfe8f823456dac58a84a1555cded347ee0f6c5991c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:28.617327Z digest=sha256:1f7c7f1df3d679109a98ae93a3344f9add5eab13470985c501c63233d1a360e6

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=sha256:3333b49129d52836a43e70dc7886b7f0e8fb0d009faf2bd45ac246740bcef625

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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:28.868805Z digest=sha256:e9e7fa048936b57300d8fb2ddd1a028535b5f5bfb6d93910d12e0746d6f3bcef

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:28.979561Z digest=sha256:4198e024b6969301f69650fb0f32ad7688b8a480a91f27ec07a1d92faa90ea3c

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:29.076060Z digest=sha256:d18619b5f2b883ba8bbd94ab2a7ceb06ae2a62357a29b919afafd75db90bdd70

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=sha256:345ef57ab8948d616c250d8f87c0d9a82ed03ffbc0a826d3190001bca2d4f58c

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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source=pdf_text observed=2026-08-07T12:27:29.242591Z digest=sha256:91738e46a9c4db407171a30a3538a5b80ae86dadcbe1d6bf213f257a203a0e83

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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source=pdf_text observed=2026-08-07T12:27:29.376486Z digest=sha256:2b6afb9b7e50eb707a7e4ad9aea90e4ff0689504f85e11fb56607086064b7666

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:29.463564Z digest=sha256:53cf88d62132848d89cdd624a6235ff2c5b1949855835a358be8dab5dbe0158e

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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source=pdf_text observed=2026-08-07T12:27:29.576850Z digest=sha256:fe1274af3704755e274dbe4c7e89ddb96eba5e4c6f5a2b0e83a7de5737307808

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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raw_fallback, observed 2026-08-07T12:27:34.192178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:29.748307Z digest=sha256:f5c59cc2b5f4cb3291f8b9e084a73bb71e4c6ed59b84b867afb75abcb52296f6

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:29.838548Z digest=sha256:85b57568e71b9f9ba7c3597e264d4c2d5e1e8a81ea07e69bd46e66dafa888f49

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=sha256:8af74c5addd996de6732297e928eecbf600236b9d89deafd424d5e152de56535

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:a55cace67649cf2a0f57c6cab6d1a204feba384b04138eab1c43b5299585a68c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:30.158337Z digest=sha256:50b0a62c63a8d6d714ebe6bb6d24da5cf75759921cbe4955ecb7d2904c99de9d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:30.248229Z digest=sha256:a75ac8e65c46c50de1fb7eb302a13e7a50d7e448c0bdb250cb20bd1d60680691

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 2026-08-15T06:32:42.880941+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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source=pdf_text observed=2026-08-07T12:27:30.439237Z digest=sha256:dbbd9864e8dd0fb203227d4b3ea7f92aabf92235a7ffcf76efbf66a02005aba0

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:30.520532Z digest=sha256:188889648b1986f90e85fab853ee24d7a58b7161c10e01b165a94e730dc6254e

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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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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:30.642548Z digest=sha256:3d820cc8a803deafd634c2f3189da1086e9073287b2c39d0dadcdf493a55dd0b

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=pdf_text observed=2026-08-07T12:27:30.759861Z digest=sha256:b211bf4bb3af83c11b32930b542238ae910e8258eb0844b33c9f22e7b96a2445

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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no resolver link, observed 2026-08-07T12:27:30.838873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:27:30.838873Z digest=sha256:ceedabfae64512edc5a56661c41d62443b84972d5ee81ef032ad8379966593ec

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T12:27:30.903267Z digest=sha256:1bafa0469b2045abefc42abeb520cb4792191eebc65625486e66fbc479c47d73

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

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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 2026-08-15T06:32:42.880941+00:00.

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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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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.

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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.

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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.

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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.

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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.

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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 2026-08-15T06:32:42.880941+00:00.

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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 2026-08-15T06:32:42.880941+00:00.

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Pith citing papers

No inbound Pith citation observations are available.