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Paper Citation Record · LEDGER

Spatially-Aware Class-Agnostic Object Counting

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2607.16826.

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

pith.paper-citation-record.v1
2607.16826 v2

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:51:53.627427Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

21 of 21 outbound references displayed

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  • unresolved21
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ab2ec36-193a-4377-ad5a-ce7774d0e343 · outbound

This paper cites Single-image crowd counting via multi-column convolutional neural network,.

Spatially-Aware Class-Agnostic Object Counting Single-image crowd counting via multi-column convolutional neural network,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:52.281861Z digest=sha256:2fbef9b81771232cc933468045b86f8f89c2d19f1ba40df82e8a45178a45adf0

Observation ebe5cb02-5b41-4ef3-b824-b04db573bb06 · outbound

This paper cites A large contextual dataset for classification, detection and counting of cars with deep learning,.

Spatially-Aware Class-Agnostic Object Counting A large contextual dataset for classification, detection and counting of cars with deep learning,

Reference 2

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source=pdf_text observed=2026-08-01T19:51:52.390319Z digest=sha256:0fb101db57122a464e8e33dbef0d1697fc07dee85bb5e258bcb2e5963eb98c4b

Observation 3fd55d05-0bf8-4f74-8796-31b6b4fdc749 · outbound

This paper cites CounTR: Transformer-based Generalised Visual Counting.

Spatially-Aware Class-Agnostic Object Counting CounTR: Transformer-based Generalised Visual Counting

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:52.487383Z digest=sha256:27f757bc635eb7e03188517c30ea538cc4e9fb47a3734415b4fa4994a9655373

Observation d983de8b-98d0-405c-b671-1e8670548255 · outbound

This paper cites Class-agnostic counting,.

Spatially-Aware Class-Agnostic Object Counting Class-agnostic counting,

Reference 4

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source=pdf_text observed=2026-08-01T19:51:52.594894Z digest=sha256:94f2c80ba19adc493e9ce37d75865df9875532b52454dc9ce7c60944b0cd99f8

Observation 9bf4d679-3e47-46c1-af8c-61e5be002197 · outbound

This paper cites Vision transformers for dense prediction,.

Spatially-Aware Class-Agnostic Object Counting Vision transformers for dense prediction,

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:52.748585Z digest=sha256:388cd3ad6f5bdbd6887c22366862598472b90a9955e79cf58e19059d7bf6094f

Observation 3f153934-fd9d-459c-ae0c-79689c3d5136 · outbound

This paper cites Featup: A model-agnostic framework for features at any resolution,.

Spatially-Aware Class-Agnostic Object Counting Featup: A model-agnostic framework for features at any resolution,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:52.789789Z digest=sha256:d3b4b43361127fc1b7c7f4c97f5670197be1cd38983d07fa85c32530fc5ec354

Observation 386b4942-171c-443e-8b9f-845893fcaddd · outbound

This paper cites Learning to count everything,.

Spatially-Aware Class-Agnostic Object Counting Learning to count everything,

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:52.840255Z digest=sha256:4b02ec62a7ee5d74c69a3acb68993da8469b2b8222e084abd1d021bf5ab62c6d

Observation 48511f04-1d75-44c5-ab34-96defcbe5d05 · outbound

This paper cites Zero-shot object counting,.

Spatially-Aware Class-Agnostic Object Counting Zero-shot object counting,

Reference 8

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source=pdf_text observed=2026-08-01T19:51:52.884430Z digest=sha256:8231c6062fca5bd6650e8977e9820d41a7bd8b845f93766a62c98e78dc44553e

Observation 06662335-568c-4308-9fa8-c3520b07c564 · outbound

This paper cites Exemplar free class agnostic counting,.

Spatially-Aware Class-Agnostic Object Counting Exemplar free class agnostic counting,

Reference 9

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source=pdf_text observed=2026-08-01T19:51:52.931796Z digest=sha256:c5a6438fee15227622fc746235be7bc97ef12bb6dc98a04eb9fc7f26cd375f46

Observation 677013aa-ab5e-4f31-97f0-663c4e57f39d · outbound

This paper cites CLIP-Count: Towards Text-Guided Zero-Shot Object Counting.

Spatially-Aware Class-Agnostic Object Counting CLIP-Count: Towards Text-Guided Zero-Shot Object Counting

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:52.994022Z digest=sha256:8b640c5eeaedd076d24695f80c2f97b26223089528f8d3065a7eecf9ecdf68c8

Observation 383ace9c-4127-41bd-87ed-d4cc7d0a0861 · outbound

This paper cites Open- world text-specified object counting,.

Spatially-Aware Class-Agnostic Object Counting Open- world text-specified object counting,

Reference 11

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source=pdf_text observed=2026-08-01T19:51:53.067879Z digest=sha256:1b07eb7104dc41f32993d2837f472e86738fe2d9a3ea07ba75d01e0180bcc1f1

Observation d51f7f20-eb53-4787-9866-06479b20a048 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Spatially-Aware Class-Agnostic Object Counting Learning transferable visual models from natural language supervision,

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:53.134786Z digest=sha256:e62e73acc806c6eeec82117a69ca317386ba9c53792b9279e97e50a3d1608a90

Observation c5e006e7-dfe5-46c2-abfa-3813be2300ea · outbound

This paper cites Drone-based object counting by spatially regularized regional proposal network,.

Spatially-Aware Class-Agnostic Object Counting Drone-based object counting by spatially regularized regional proposal network,

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:53.193311Z digest=sha256:1a4571eb26f7b2b38a3f62ac16d8189ce9a7b2b0ee111d5b2ce1cba6a83e5008

Observation 13c82bd4-519a-4a58-a76f-0e2b6217251d · outbound

This paper cites an unresolved cited work.

Spatially-Aware Class-Agnostic Object Counting Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:52.672923Z digest=sha256:4dd9e76e98a3d93f661758267153d543d3bf8d989664f41fff94b47af532110f

Observation 1cbab7d0-e13c-4a67-90ca-dbecac34559b · outbound

This paper cites T2icount: Enhancing cross-modal understanding for zero-shot counting,.

Spatially-Aware Class-Agnostic Object Counting T2icount: Enhancing cross-modal understanding for zero-shot counting,

Reference 15

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source=pdf_text observed=2026-08-01T19:51:53.245628Z digest=sha256:5b6dfcb941d68c56c15447a2254143d3dc65d9923e2a460ab1721613b4a8ac3d

Observation c7ebb7b3-82bc-403d-881f-9a1e057dc3e2 · outbound

This paper cites Countse: Soft exemplar open- set object counting,.

Spatially-Aware Class-Agnostic Object Counting Countse: Soft exemplar open- set object counting,

Reference 16

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source=pdf_text observed=2026-08-01T19:51:53.286885Z digest=sha256:6990c9966a70a687ded5992a76585b4fe9ada0789c18393a988d35252f598852

Observation a10c6f6f-1167-47df-a6b5-f07646158b1a · outbound

This paper cites Boosting quantitive and spatial awareness for zero-shot object counting,.

Spatially-Aware Class-Agnostic Object Counting Boosting quantitive and spatial awareness for zero-shot object counting,

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:53.354756Z digest=sha256:74dca919a5c46d78b36d4fdb86c81965c0d1a24f28a108ded8e3964c01890ded

Observation e0351c11-afdc-450b-bdaa-24014a68690f · outbound

This paper cites A Low-Shot Object Counting Network With Iterative Prototype Adaptation.

Spatially-Aware Class-Agnostic Object Counting A Low-Shot Object Counting Network With Iterative Prototype Adaptation

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:51:53.432849Z digest=sha256:c6a67580ebc3f8dd5e0ae84823457bdfc0ce5f438e62aa5c3fd547b2e295d0ff

Observation 973c4713-a673-4fdb-a1bc-51d2def7dace · outbound

This paper cites Dave-a detect-and-verify paradigm for low-shot counting,.

Spatially-Aware Class-Agnostic Object Counting Dave-a detect-and-verify paradigm for low-shot counting,

Reference 19

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source=pdf_text observed=2026-08-01T19:51:53.489064Z digest=sha256:0b91ce51e06c78777f71303c8ef7ad598968ca2f01767a5c4965e45f8d474c94

Observation 1cc8c292-81e7-4a5d-b68b-21d71c131369 · outbound

This paper cites Countgd: Multi-modal open-world counting,.

Spatially-Aware Class-Agnostic Object Counting Countgd: Multi-modal open-world counting,

Reference 20

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source=pdf_text observed=2026-08-01T19:51:53.550601Z digest=sha256:04c60404b003e625136f4f9a4e53ce9f54975e048eb350e66c841fc1b6dce64b

Observation 81420afe-7e0a-46ca-88b3-edaeccfc3195 · outbound

This paper cites Countingdino: A training-free pipeline for class-agnostic counting using unsupervised backbones,.

Spatially-Aware Class-Agnostic Object Counting Countingdino: A training-free pipeline for class-agnostic counting using unsupervised backbones,

Reference 21

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source=pdf_text observed=2026-08-01T19:51:53.627427Z digest=sha256:53a61168a79a9bfd17378f7888eca99a69bb0cc735780e81a4944cd7f9cc9aae

Pith citing papers

No inbound Pith citation observations are available.