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Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 2 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-25T21:18:05.054587Z

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:44.332169Z digest=sha256:e7af3ef597b01cd311d222dd3939e57e84fee2022575aa91cf792c5d06802d98

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:44.336594Z digest=sha256:b8b2fc680841e6fe751f9e430de0102a7b53fa9127168e3d145883c94c2d7808

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:44.340179Z digest=sha256:5da6d2750e2c9a69cc9ce212535f91ed0ceabd756793f30a471192c34a06edd3

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:44.344364Z digest=sha256:53d86597ea57d2d827d2459342f575ad5cf309a5b9689280f73bab94385bef94

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:ceb11758d377ddebb3b6ff91dab46901e3465895484384c775bae0ec1d135e54

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=sha256:4828ae3ac43118f0f570b916b7dd0c6115845e056e53c28d9a7d47b5c6299084

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:f1cec59dc6ed6c4c69a55dbf3b52bc46af8016d0f7766425ff6f569fa6889706

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:44.361497Z digest=sha256:ef2cae51643415d9957d8a9cc95bbdc097d794ecdd415e92acf7f9132be321eb

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:44.365073Z digest=sha256:74bf38cdee221bcea4d8f03a9ccdce6692c70094a544e138f810e476efe8c893

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:44.368591Z digest=sha256:47840952bd09fd383c125d0453d7485c56b7f6c1b0fda930d85ee8f59fd90f5a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:44.372120Z digest=sha256:6d12b92f675b78dd1446ba91f5e2ee3c70ccfd3c0448eee130d4d7a149b0065d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:44.376269Z digest=sha256:56e60fd810430b36c654543becb17b914714e66e400612594db9b3531764fb05

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T20:59:44.381055Z digest=sha256:8e736f6bcd63f44c27393276b419c54cddad84b1376ec64c573e455632a158cd

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=sha256:02cf6a47b227f34313bf6f1635b4f2ec31fdf4a0d583d58170757af59a06c257

Pith citing papers

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T17:58:36.841305Z digest=sha256:b975e527f007406f9526d06ff7f33797b56c353e193f7f8486516fe645db1687

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-25T21:18:05.054587Z digest=sha256:d9d445c1ca63c4204b4bd35604c57077f6c373772c630157c4dcca7790a26407