Paper Citation Record · LEDGER

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking

As of 23 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2505.12606.

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

pith.paper-citation-record.v1
2505.12606 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:35:54.922566Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T06:33:36.846345Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T06:34:40.918877Z

Reference resolution

60 of 60 outbound references displayed

verified exact0
verified fuzzy44
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aad54390-de3a-4a5a-95df-27ef567da53e · outbound

This paper cites Fully-convolutional siamese networks for object tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Fully-convolutional siamese networks for object tracking

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.642494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 705244ed-0bea-4c29-9a10-8ae7a3b910aa · outbound

This paper cites Transformer tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Transformer tracking

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.629296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ff937f3d-1851-40dc-a209-2e67632d671a · outbound

This paper cites ECO: Efficient convolution operators for tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking ECO: Efficient convolution operators for tracking

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.616611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d32eeea5-3ddd-402c-990e-eae624078da9 · outbound

This paper cites Probabilistic regression for visual tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Probabilistic regression for visual tracking

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.604160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bbdb12e2-af53-4c6c-a499-2a072b2a8863 · outbound

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

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking An image is worth 16x16 words: Transformers for image recognition at scale

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.718873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b366b8f-9586-46cb-b145-ea7b20d19f56 · outbound

This paper cites LaSOT: A high-quality benchmark for large-scale single object tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking LaSOT: A high-quality benchmark for large-scale single object tracking

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.583742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d47ed8a-5bf9-45a7-ba58-da819f8d2924 · outbound

This paper cites Siamese natural language tracker: Tracking by natural language descriptions with siamese trackers.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Siamese natural language tracker: Tracking by natural language descriptions with siamese trackers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.571231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0c37997d-1ebc-4549-900c-e8e6b166bac6 · outbound

This paper cites Geowizard: Unleashing the diffusion priors for 3d geometry estimation from a single image.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Geowizard: Unleashing the diffusion priors for 3d geometry estimation from a single image

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.557463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d49ff0b4-d774-4e4f-840f-c88c7f39e096 · outbound

This paper cites Deep adaptive fusion network for high performance RGBT tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Deep adaptive fusion network for high performance RGBT tracking

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.544300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9039c009-ee7f-48db-a826-6a966bce9efc · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.532514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ffbb455-5557-4523-a904-ec6a96719e70 · outbound

This paper cites Generative adversarial nets.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Generative adversarial nets

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.740686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4918259-53c2-4678-a055-1bb0006665bc · outbound

This paper cites High-speed tracking with kernelized correlation filters.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking High-speed tracking with kernelized correlation filters

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.513657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eba6c020-68c9-48e2-9887-ed7ed8bdf3cb · outbound

This paper cites Denoising diffusion probabilistic models.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Denoising diffusion probabilistic models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.502132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0d6b52a0-b017-4c7d-a44d-af85e2f9eaa5 · outbound

This paper cites Onetracker: Unifying visual object tracking with foundation models and efficient tuning.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Onetracker: Unifying visual object tracking with foundation models and efficient tuning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.490749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 53c087ad-0fe2-465d-b88e-b8c54f4eac34 · outbound

This paper cites Sdstrack: Self-distillation symmetric adapter learning for multi-modal visual object tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Sdstrack: Self-distillation symmetric adapter learning for multi-modal visual object tracking

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.478126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7656bdf6-b8b2-493f-9ca7-898a8fb3eb33 · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Lora: Low-rank adaptation of large language models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.758961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1adf717-bd3c-4510-8c8a-cf3da1e4ee0a · outbound

This paper cites Got-10k: A large high-diversity benchmark for generic object tracking in the wild.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Got-10k: A large high-diversity benchmark for generic object tracking in the wild

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.458454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94682704-5871-4cbd-b884-8674ebbbdcc9 · outbound

This paper cites Visual prompt tuning.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Visual prompt tuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.765744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2659a8e-a6cb-462d-9fb0-da0f2ba095cd · outbound

This paper cites Repurposing diffusion-based image generators for monocular depth estimation.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Repurposing diffusion-based image generators for monocular depth estimation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.769585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14f2d0d2-827c-467c-bc63-55a762686fc0 · outbound

This paper cites The sixth visual object tracking VOT2018 challenge results.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking The sixth visual object tracking VOT2018 challenge results

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.430270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 72efa579-c028-4ee4-8ef2-e4bac786af99 · outbound

This paper cites The tenth visual object tracking vot2022 challenge results.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking The tenth visual object tracking vot2022 challenge results

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.417077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8603501e-d3cf-4def-8a14-f77785fe6045 · outbound

This paper cites Stable diffusion image variations.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Stable diffusion image variations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.404686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9e1e1931-c5e5-455c-82c0-1243549691d4 · outbound

This paper cites Cornernet: Detecting objects as paired keypoints.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Cornernet: Detecting objects as paired keypoints

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.784051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbfdce2a-3218-4e45-86ab-382b5af5191b · outbound

This paper cites SiamRPN++: Evolution of siamese visual tracking with very deep networks.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking SiamRPN++: Evolution of siamese visual tracking with very deep networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.787540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7898066-aa07-482e-848e-69bfec4f8702 · outbound

This paper cites RGB-T object tracking: Benchmark and baseline.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking RGB-T object tracking: Benchmark and baseline

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.378038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51b3b29f-a612-4c80-9ec4-dbac26752a47 · outbound

This paper cites Lasher: A large-scale high-diversity benchmark for RGBT tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Lasher: A large-scale high-diversity benchmark for RGBT tracking

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.365790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation afd604ce-d5c5-4fc2-b98d-a5d1a548c31d · outbound

This paper cites Tracking by natural language specification.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Tracking by natural language specification

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.351744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3d5e3f1a-0909-4de1-8a25-91d78f85cd3f · outbound

This paper cites Belongie, Lubomir D.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Belongie, Lubomir D

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.337727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 20745626-58d5-41df-ba74-4100dcb190d8 · outbound

This paper cites Decoupled Weight Decay Regularization.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Decoupled Weight Decay Regularization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.805883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f1e6d9-600f-474a-b2df-63c900074710 · outbound

This paper cites Narrowing the Synthetic-to- Real Gap for Thermal Infrared Semantic Image Segmentation Using Diffusion-based Conditional Image Synthesis.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Narrowing the Synthetic-to- Real Gap for Thermal Infrared Semantic Image Segmentation Using Diffusion-based Conditional Image Synthesis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.324922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7107b7b0-9967-4248-be31-125e7f6def6a · outbound

This paper cites T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking T2i- adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.312290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8eab2a34-a4e0-4a9c-822f-5b1e9f89ef7f · outbound

This paper cites TrackingNet: A large-scale dataset and benchmark for object tracking in the wild.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking TrackingNet: A large-scale dataset and benchmark for object tracking in the wild

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.299169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3f34eb64-95e4-4350-b1f9-8edd91376981 · outbound

This paper cites Learning multi–domain convolutional neural networks for visual tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Learning multi–domain convolutional neural networks for visual tracking

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.285935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 06572793-932b-4812-b7fd-c1d15de05a9c · outbound

This paper cites Scalable diffusion models with transformers.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Scalable diffusion models with transformers

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.823611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6becfe6-a078-4424-9369-12ee2167dc43 · outbound

This paper cites Zero: Memory optimizations toward training trillion parameter models.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Zero: Memory optimizations toward training trillion parameter models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.827538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f25372a8-6b09-4899-afca-a59a657b5e8a · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Generalized intersection over union: A metric and a loss for bounding box regression

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.256208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5bb35ee-c3c2-4347-807e-5f6d2efc9523 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking High-resolution image synthesis with latent diffusion models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.835071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4b38bd6-4934-457f-9702-677e1ba3f9fb · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.838626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de3c7583-527e-41e0-94d5-960d5c0a388a · outbound

This paper cites Transformer rgbt tracking with spatio- temporal multimodal tokens.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Transformer rgbt tracking with spatio- temporal multimodal tokens

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.228589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 120df161-bacc-49dd-a92f-0424c5d79b4b · outbound

This paper cites XTrack: Multimodal Training Boosts RGB-X Video Object Trackers.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking XTrack: Multimodal Training Boosts RGB-X Video Object Trackers

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.846053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdac64c7-f6e5-43b9-813e-aca8e782377d · outbound

This paper cites Emergent correspondence from image diffusion.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Emergent correspondence from image diffusion

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.216727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f5b567f-4e7b-44ea-94b3-516d87f59976 · outbound

This paper cites Embodiedscan: A holistic multi-modal 3d perception suite towards embodied ai.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Embodiedscan: A holistic multi-modal 3d perception suite towards embodied ai

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.204396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 16d02971-0acc-4a4c-b962-87c7ff61f642 · outbound

This paper cites VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking VisEvent: Reliable Object Tracking via Collaboration of Frame and Event Flows

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.857390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c82250ec-9399-40c9-ac99-5907c4d2d57d · outbound

This paper cites Towards more flexible and accurate object tracking with natural language: Algorithms and benchmark.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Towards more flexible and accurate object tracking with natural language: Algorithms and benchmark

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.192788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fcbd34df-7175-43d4-ba72-8521d8f12138 · outbound

This paper cites E-motion: Future motion simulation via event sequence diffusion.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking E-motion: Future motion simulation via event sequence diffusion

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.179838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e43429da-1f73-46ba-a141-007fcc74b46e · outbound

This paper cites Object tracking benchmark.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Object tracking benchmark

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.167779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 474d023e-4cb3-4778-bce1-3d90c0db9e8f · outbound

This paper cites Single-model and any-modality for video object tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Single-model and any-modality for video object tracking

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.154893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d125a98-848b-4338-952e-4f2c3f4aa086 · outbound

This paper cites Multiple human tracking based on multi-view upper-body detection and discriminative learning.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Multiple human tracking based on multi-view upper-body detection and discriminative learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.140124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b1c44179-b610-4b3c-988a-7d78f257b2e7 · outbound

This paper cites Learning spatio-temporal transformer for visual tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Learning spatio-temporal transformer for visual tracking

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.127115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2afebe87-e411-425d-b9e1-4da6c7381c7c · outbound

This paper cites Depth- track: Unveiling the power of RGBD tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Depth- track: Unveiling the power of RGBD tracking

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.114657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eb323a9a-8769-4d4f-81fa-bbf922ec5b0c · outbound

This paper cites Prompting for multi-modal tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Prompting for multi-modal tracking

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.101082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b13b2ce1-f5f4-4055-93b5-5819dc2d2041 · outbound

This paper cites Joint feature learning and relation modeling for tracking: A one-stream framework.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Joint feature learning and relation modeling for tracking: A one-stream framework

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.089329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e90c5164-1e3e-4642-8441-2d4729a1f1a1 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Adding conditional control to text-to-image diffusion models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.896362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c70bd387-45d9-42bc-8baa-ff59514fe79d · outbound

This paper cites Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Paste, Inpaint and Harmonize via Denoising: Subject-Driven Image Editing with Pre-Trained Diffusion Model

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T20:35:54.900052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43dfd1b4-8c22-44de-ada1-37721fc376c7 · outbound

This paper cites Diff-tracker: Text-to-image diffusion models are unsupervised trackers.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Diff-tracker: Text-to-image diffusion models are unsupervised trackers

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.067828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7b831a14-542d-44f0-9bfc-93cd53ab7521 · outbound

This paper cites Unleashing text-to-image diffusion models for visual perception.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Unleashing text-to-image diffusion models for visual perception

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.054664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0b8efab1-7067-49d6-930a-7556cc8aef71 · outbound

This paper cites Joint visual grounding and tracking with natural language specification.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Joint visual grounding and tracking with natural language specification

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.041125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fde0bfcc-c433-4c65-a027-5eba4f70193c · outbound

This paper cites Visual prompt multi-modal tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Visual prompt multi-modal tracking

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.027591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6b2969ce-dac8-4cc4-ae6b-85040f083fb5 · outbound

This paper cites RGBD1K: A large-scale dataset and benchmark for RGB-D object tracking.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking RGBD1K: A large-scale dataset and benchmark for RGB-D object tracking

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.015232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3c8ef7b8-09b6-48c3-80aa-c1cb5f9aba70 · outbound

This paper cites Exploring pre-trained text-to-video diffusion models for referring video object segmentation.

Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking Exploring pre-trained text-to-video diffusion models for referring video object segmentation

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T20:35:55.001458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

Observation ac86f337-d99a-41c3-a8ad-45ee4d7ba08d · inbound

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning cites this paper.

Efficient Agentic Reasoning Through Self-Regulated Simulative Planning Diff-MM: Exploring Pre-trained Text-to-Image Generation Model for Unified Multi-modal Object Tracking

Reference 115

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:34:40.921134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.