Paper Citation Record · LEDGER

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features

As of 22 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 2 inbound Pith citation observations for arXiv:2505.19434.

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

pith.paper-citation-record.v1
2505.19434 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:17.664872Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:00:25.180490Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:16:14.230121Z

Reference resolution

25 of 25 outbound references displayed

verified exact6
verified fuzzy10
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43685550-9833-41ae-8ee2-2fe4cc98429c · outbound

This paper cites an unresolved cited work.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:19:19.658301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c74a04aa-75e6-4a5d-9ff3-3f2d50b3ec60 · outbound

This paper cites Enhancing vision-language tracking by effectively converting textual cues into visual cues.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Enhancing vision-language tracking by effectively converting textual cues into visual cues

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:22.280863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ad141a57-a1ca-4a3a-87b2-8c54f3186f26 · outbound

This paper cites Dal: A deep depth-aware long-term tracker.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Dal: A deep depth-aware long-term tracker

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:21.865765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 295a6cf8-7faf-4f9e-8b0e-d7e096edc8c1 · outbound

This paper cites Transformer RGBT Tracking with Spatio-Temporal Multimodal Tokens.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Transformer RGBT Tracking with Spatio-Temporal Multimodal Tokens

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:19:18.582570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0a2a0068-36c4-4ecf-9584-5211f173596c · outbound

This paper cites Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Revisiting Color-Event based Tracking: A Unified Network, Dataset, and Metric

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:16.076497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eb4434e-ca3b-48c6-981e-c21030d14ef3 · outbound

This paper cites Meta-Transformer: A Unified Framework for Multimodal Learning.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Meta-Transformer: A Unified Framework for Multimodal Learning

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:16.348830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bf7e2e9-09ec-4a52-9024-4bfb272e4ffb · outbound

This paper cites Removal and selection: Improving rgb-infrared ob- ject detection via coarse-to-fine fusion.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Removal and selection: Improving rgb-infrared ob- ject detection via coarse-to-fine fusion

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:16.476118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e632ef26-3bea-4fb1-b815-585deea2e221 · outbound

This paper cites ODTrack: Online Dense Temporal Token Learning for Visual Tracking.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features ODTrack: Online Dense Temporal Token Learning for Visual Tracking

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:19:17.930476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9c5ac1bc-8aba-44a2-9ff4-9c950b79c468 · outbound

This paper cites More Details on the RGB-X Benchmarks As discussed in Sec.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features More Details on the RGB-X Benchmarks As discussed in Sec

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:21.611483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d09bc597-1631-4be6-a031-009cb30f238b · outbound

This paper cites In this section, we provide an overview of these benchmarks and their respective evaluation metrics.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features In this section, we provide an overview of these benchmarks and their respective evaluation metrics

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:21.365706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5d87c688-6f27-4a63-99dd-244769f886a6 · outbound

This paper cites This dataset employs an anchor-based short-term evaluation protocol (Kristan et al., 2020), which requires trackers to restart multiple times from different initialization points.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features This dataset employs an anchor-based short-term evaluation protocol (Kristan et al., 2020), which requires trackers to restart multiple times from different initialization points

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:21.133281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d9208d1e-7e0a-4c0c-a420-2323cc5e8a92 · outbound

This paper cites As shown in Tab.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features As shown in Tab

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:20.814440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cda9b8e8-12e7-44fb-bfaa-14b1c76c3f3f · outbound

This paper cites Our compact spatial modeling method, through the pro- posed Spatial Compact Module, integrates the features of both RGB and X modalities into a compact feature space.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Our compact spatial modeling method, through the pro- posed Spatial Compact Module, integrates the features of both RGB and X modalities into a compact feature space

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:20.503047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 30de5c83-5124-4ab7-b42a-4b553006c5db · outbound

This paper cites These methods compress the temporal interaction between search and cue features into a small set of temporal queries, providing temporal guidance for the tracker.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features These methods compress the temporal interaction between search and cue features into a small set of temporal queries, providing temporal guidance for the tracker

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:19.951245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2fff0499-ee89-42a2-9654-97b32bc1a484 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:14.755478Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ceee9695-3fe0-4a7d-916d-d9743f227eda · outbound

This paper cites VMBench: A Benchmark for Perception-Aligned Video Motion Generation.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features VMBench: A Benchmark for Perception-Aligned Video Motion Generation

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:15.379407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01ec521d-a63a-40d8-aea5-2a6b6f77a7c5 · outbound

This paper cites This approach has been widely adopted in the tracking field, such as in TrDiMP (Wang et al., 2021a) and JointNLT (Zhou et al., 2023).

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features This approach has been widely adopted in the tracking field, such as in TrDiMP (Wang et al., 2021a) and JointNLT (Zhou et al., 2023)

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:20.221558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 80575576-bc44-48bc-9f00-62ecbb9437d4 · outbound

This paper cites VastTrack: Vast Category Visual Object Tracking.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features VastTrack: Vast Category Visual Object Tracking

Reference 2016

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:19:19.104070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bcd44cdb-919c-45dd-ad8d-e0f07484b930 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:15.103238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b9895d9-6601-4598-a1f0-7bc615ec7ec4 · outbound

This paper cites Explicit Visual Prompts for Visual Object Tracking.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Explicit Visual Prompts for Visual Object Tracking

Reference 2019

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:19:18.830409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4b6fb4c5-ed9a-4eb3-93b3-4e39d6747ff6 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Imagenet: A large-scale hierarchical image database

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:14.638964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d19dfa8-d9ab-49ac-a3c5-a0096dfa298b · outbound

This paper cites DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:15.231730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee6c68ce-e826-40e8-a5aa-73c4e8275bb6 · outbound

This paper cites Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Autoregressive Queries for Adaptive Tracking with Spatio-TemporalTransformers

Reference 2022

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:19:18.308542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fab4ea75-533a-4afc-b9e7-f9d87e3b1128 · outbound

This paper cites ˇC., Lukeˇziˇc, A., Drbohlav, O., et al.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features ˇC., Lukeˇziˇc, A., Drbohlav, O., et al

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:22.028083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 2291bfdd-35a7-4d92-8c62-a5ffdea1d3ed · outbound

This paper cites Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness.

CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness

Reference 2024

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:19:19.396151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 6956bd4c-b23c-4673-b875-76a169d735b7 · inbound

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking cites this paper.

ATCTrack: Aligning Target-Context Cues with Dynamic Target States for Robust Vision-Language Tracking CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T18:00:25.180490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d93218e6-6d02-432f-843f-0e7a18ab5ded · inbound

Unified Multimodal Visual Tracking with Dual Mixture-of-Experts cites this paper.

Unified Multimodal Visual Tracking with Dual Mixture-of-Experts CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:16:14.235460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.