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Paper Citation Record · LEDGER

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model

As of 16 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 3 inbound Pith citation observations for arXiv:2501.06697.

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

pith.paper-citation-record.v1
2501.06697 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:59:44.384842Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:40:07.845204Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.519542Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy10
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1a3d3aaf-23ac-49fb-9bd4-1ebc5fee8ca2 · outbound

This paper cites Urban planning and building smart cities based on the internet of things using big data analytics,.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model Urban planning and building smart cities based on the internet of things using big data analytics,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:59:44.585316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:59:44.332169Z digest=sha256:19a703c6bb19d710a86f2ebe76cb30f8250120f0385c37ebc4dc164e77be9ec2

Observation caea63a5-f347-4ee5-8ec9-d03def1a0701 · outbound

This paper cites Transformer for tree counting in aerial images,.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model Transformer for tree counting in aerial images,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:59:44.573154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:59:44.336594Z digest=sha256:7b4810bc97427ac1d95bfcc9323852801ddb5be9dd73e939c3bb9ca0356b1c59

Observation 329e2b10-9969-42cd-806a-1e8f752fe9ad · outbound

This paper cites Detecting and counting sheep with a convolutional neural network,.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model Detecting and counting sheep with a convolutional neural network,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:59:44.560502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:59:44.340179Z digest=sha256:af385d1d69fded9a2e239fcca09fba766ba6b678210d1b7b8c41bb2d11eda420

Observation 1d4a5fbb-ea0c-43ed-80cd-98e4c66dfaa5 · outbound

This paper cites Ex- ploring fine-grained image-text alignment for referring remote sensing image segmentation,.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model Ex- ploring fine-grained image-text alignment for referring remote sensing image segmentation,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:59:44.547572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:59:44.344364Z digest=sha256:4cbb072c2f35b0c251c245ace35cbfe1e2765062f5716aad62a11345ccf2cdbd

Observation 75b64364-16db-4a41-ab35-71dc08fa5ee8 · outbound

This paper cites VMamba: Visual State Space Model.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model VMamba: Visual State Space Model

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T20:59:44.348142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:59:44.348142Z digest=sha256:b3f03faeffcfff59e8a822622aa2fedb54c2bd88f357784b5c0bd0f3a571e947

Observation 53616922-1bb9-4f4a-84a7-ff20d9d3975e · outbound

This paper cites FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model FER-YOLO-Mamba: Facial Expression Detection and Classification Based on Selective State Space

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T20:59:44.352498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:59:44.352498Z digest=sha256:75e1e4c694909bc60f71ae351d46e709393fffbc47d421feda65282a9f312a5e

Observation c29f2b75-ad15-44bf-819b-74533f434683 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T20:59:44.357265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:59:44.357265Z digest=sha256:16646f0bd51b3c3d0dabbaf1a54e0a9ab28518004b418a567910d74380a8a2b4

Observation a71a7c39-1133-4540-89e3-d2e4bf1bd46d · outbound

This paper cites CSRNet: Dilated convolutional neural networks for understanding the highly congested scenes,.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model CSRNet: Dilated convolutional neural networks for understanding the highly congested scenes,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:59:44.533092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:59:44.361497Z digest=sha256:779f7147e00a874dcadd9648aa40b56fae03c21fc2330728e3d2ac3abe2c4195

Observation b3debffe-6836-4412-9879-e6c0af538b81 · outbound

This paper cites Learning from synthetic data for crowd counting in the wild,.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model Learning from synthetic data for crowd counting in the wild,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:59:44.519332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:59:44.365073Z digest=sha256:2e976741ec01bf85f173d1e41367eca73bf56f1c0cebe8ed351fbd76a1977ff3

Observation 405f223c-570c-4acd-981f-402566cc13ae · outbound

This paper cites PSGCNet: A pyramidal scale and global context guided network for dense object counting in remote-sensing images,.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model PSGCNet: A pyramidal scale and global context guided network for dense object counting in remote-sensing images,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:59:44.505623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:59:44.368591Z digest=sha256:b7f914bf59a61c65059141c8f46f8a98f49ce4b4e2f913b7a3ee1fc1700d4066

Observation 185e34f2-b2e1-49ce-a641-b0b6a05fcb6a · outbound

This paper cites Dilated- scale-aware category-attention convnet for multi-class object counting,.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model Dilated- scale-aware category-attention convnet for multi-class object counting,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:59:44.493031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:59:44.372120Z digest=sha256:8bc107fa7834a195aeac5d23763b4119f1bab4fadb77015770c7882dfc61e3f6

Observation 94b28bdf-807c-4612-a7bc-9a4202fbd40d · outbound

This paper cites NWPU-MOC: A benchmark for fine-grained multicategory object counting in aerial images,.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model NWPU-MOC: A benchmark for fine-grained multicategory object counting in aerial images,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:59:44.481039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:59:44.376269Z digest=sha256:1edbba4423fa9e436cd3749579e4560cdeb919ad054344de43976cfdbb90e7c3

Observation 2887e43f-8590-4368-913d-915afb3fe7e7 · outbound

This paper cites Rotated multi-scale interaction network for referring remote sensing image segmentation,.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model Rotated multi-scale interaction network for referring remote sensing image segmentation,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:59:44.468386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-10T20:59:44.381055Z digest=sha256:527062e78089dadf6579f2e2e8c0b97869059ad7d640c63a93618e021751136c

Observation bc4ad967-19ac-40cb-99f2-12d35877fd1f · outbound

This paper cites MambaIRv2: Attentive State Space Restoration.

Mamba-MOC: A Multicategory Remote Object Counting via State Space Model MambaIRv2: Attentive State Space Restoration

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T20:59:44.384842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:59:44.384842Z digest=sha256:e25244441e97e6e4abdd607ba4987bab0cbcf0f1fc79a66665360e6cf4973337

Pith citing papers

Observation 4f2ff638-99e7-4bb9-80e6-8ce82f57e7e3 · inbound

Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook cites this paper.

Vision Mamba in Remote Sensing: A Comprehensive Survey of Techniques, Applications and Outlook Mamba-MOC: A Multicategory Remote Object Counting via State Space Model

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-16T04:40:07.845204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:40:07.845204Z digest=sha256:de98f43c42afc5e3682054535253cee1d7ce9f60eac7775ae5ba13f779e4a847

Observation 69e28745-d98a-485f-b933-5653aff84132 · inbound

RS-OVC: Open-Vocabulary Counting for Remote-Sensing Data cites this paper.

RS-OVC: Open-Vocabulary Counting for Remote-Sensing Data Mamba-MOC: A Multicategory Remote Object Counting via State Space Model

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:41:04.670237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T17:58:36.841305Z digest=sha256:11124c493a60ea2411ab2412fb79ab10518c30d2c87461a8e6907535adab5a1c

Observation 4866bf92-c7a0-4c47-b2c1-a5719c340bb8 · inbound

State Space Models Meet Remote Sensing: A Survey cites this paper.

State Space Models Meet Remote Sensing: A Survey Mamba-MOC: A Multicategory Remote Object Counting via State Space Model

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:30:07.520859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-25T21:18:05.054587Z digest=sha256:6292cb091d1fef09cf8400540ce1c06277a340e663bd5fbbc15dc2112c20adb3