Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:03:14.359160Z
Paper Citation Record · LEDGER
Text-promptable Object Counting via Quantity Awareness Enhancement
As of 8 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2507.06679.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
51 of 51 outbound references displayed
- verified exact0
- verified fuzzy43
- unresolved7
- parse uncertain1
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1b43084b-4ce6-456f-a23f-5bf670a51709 · outbound
This paper cites Amini-Naieni, K.
Text-promptable Object Counting via Quantity Awareness Enhancement Amini-Naieni, K
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.890887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6a879c51-57d3-431c-8f87-612785eddcbb · outbound
This paper cites Counting in the wild.
Text-promptable Object Counting via Quantity Awareness Enhancement Counting in the wild
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.882212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 500112ee-505e-45ae-a0dc-66daa2a5e3e5 · outbound
This paper cites Single domain generalization for few-shot counting via universal representation matching.
Text-promptable Object Counting via Quantity Awareness Enhancement Single domain generalization for few-shot counting via universal representation matching
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.873444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5f00707e-27bb-4b5b-aa28-708f0aefad5c · outbound
This paper cites Reproducible scal- ing laws for contrastive language-image learning.
Text-promptable Object Counting via Quantity Awareness Enhancement Reproducible scal- ing laws for contrastive language-image learning
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.864603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 680db637-51f2-4d6b-aff1-3a02e6806c48 · outbound
This paper cites Referring ex- pression counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Referring ex- pression counting
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.855850Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f80e0924-0ebf-45eb-af89-c4f151ee05ac · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Text-promptable Object Counting via Quantity Awareness Enhancement BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:03:12.515848Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8180d2db-6968-41a4-9b60-d70664b7d263 · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Text-promptable Object Counting via Quantity Awareness Enhancement An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:03:12.663628Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 635dc7d4-38ab-4868-a28b-61b3fc094ff6 · outbound
This paper cites Semantic generative augmentations for few-shot counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Semantic generative augmentations for few-shot counting
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.847132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation be0f8fc6-d4ef-4604-bd20-cc6987db81ed · outbound
This paper cites Domain- general crowd counting in unseen scenarios.
Text-promptable Object Counting via Quantity Awareness Enhancement Domain- general crowd counting in unseen scenarios
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.837875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c93e8c55-8303-4e88-86b1-1d657ed87444 · outbound
This paper cites Regressor-segmenter mutual prompt learning for crowd counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Regressor-segmenter mutual prompt learning for crowd counting
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.828818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 86609ac8-8681-41fe-930d-a5e880503009 · outbound
This paper cites Learning to count anything: Reference-less class-agnostic counting with weak supervision.
Text-promptable Object Counting via Quantity Awareness Enhancement Learning to count anything: Reference-less class-agnostic counting with weak supervision
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.819489Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cc8285ee-cd98-4b62-b2f2-1ff53d286d25 · outbound
This paper cites Drone- based object counting by spatially regularized regional pro- posal network.
Text-promptable Object Counting via Quantity Awareness Enhancement Drone- based object counting by spatially regularized regional pro- posal network
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.808490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4e59b03a-6458-417a-a7c6-fb4b3d094d87 · outbound
This paper cites Squeeze-and-excitation net- works.
Text-promptable Object Counting via Quantity Awareness Enhancement Squeeze-and-excitation net- works
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.797655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 6b49e444-b4cf-4313-b56b-c2301e876435 · outbound
This paper cites Class-agnostic object counting with text-to-image diffusion model.
Text-promptable Object Counting via Quantity Awareness Enhancement Class-agnostic object counting with text-to-image diffusion model
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.787162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 2fb67742-57f0-472e-b09e-5bfe73087fb3 · outbound
This paper cites CLIP-Count: Towards Text-Guided Zero-Shot Object Counting.
Text-promptable Object Counting via Quantity Awareness Enhancement CLIP-Count: Towards Text-Guided Zero-Shot Object Counting
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:03:13.827855Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 933933cd-9e91-4384-80af-55eaf72b8014 · outbound
This paper cites Vlcounter: Text-aware visual representation for zero- shot object counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Vlcounter: Text-aware visual representation for zero- shot object counting
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.777528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 68977ed2-b2e4-4925-a79a-7952aa9db778 · outbound
This paper cites Calibrating uncertainty for semi-supervised crowd counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Calibrating uncertainty for semi-supervised crowd counting
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.768441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8be642c1-0e30-4155-ae93-6330ce20e5ab · outbound
This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models.
Text-promptable Object Counting via Quantity Awareness Enhancement Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.758786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a11f7686-f1e3-49cd-b0dd-952017cf0310 · outbound
This paper cites Csrnet: Di- lated convolutional neural networks for understanding the highly congested scenes.
Text-promptable Object Counting via Quantity Awareness Enhancement Csrnet: Di- lated convolutional neural networks for understanding the highly congested scenes
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.747454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e63d9729-f058-44f9-a751-190e48635d6e · outbound
This paper cites An end-to-end transformer model for crowd localization.
Text-promptable Object Counting via Quantity Awareness Enhancement An end-to-end transformer model for crowd localization
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.737791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8cbf97ac-2163-4fa8-ae8f-12b5f4b6e1c6 · outbound
This paper cites Crowdclip: Unsupervised crowd counting via vision-language model.
Text-promptable Object Counting via Quantity Awareness Enhancement Crowdclip: Unsupervised crowd counting via vision-language model
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.728239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e26a1a79-a668-437d-b34c-29ce96f66b11 · outbound
This paper cites A fixed-point approach to unified prompt-based counting.
Text-promptable Object Counting via Quantity Awareness Enhancement A fixed-point approach to unified prompt-based counting
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.718661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation b684f5be-b96a-4cbc-a6a9-4661f8513f43 · outbound
This paper cites CounTR: Transformer-based Generalised Visual Counting.
Text-promptable Object Counting via Quantity Awareness Enhancement CounTR: Transformer-based Generalised Visual Counting
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:03:14.264970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08d99d92-527d-4b08-8a86-e9f8065ae82a · outbound
This paper cites Point-query quadtree for crowd counting, localization, and more.
Text-promptable Object Counting via Quantity Awareness Enhancement Point-query quadtree for crowd counting, localization, and more
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.709217Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a04d2699-2b1e-4e3d-9101-30a3e581fad7 · outbound
This paper cites Visual instruction tuning.
Text-promptable Object Counting via Quantity Awareness Enhancement Visual instruction tuning
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:03:14.272434Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b83e397-a3d5-4b96-8ab2-b86f49e8917e · outbound
This paper cites Point in, box out: Beyond counting persons in crowds.
Text-promptable Object Counting via Quantity Awareness Enhancement Point in, box out: Beyond counting persons in crowds
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.692793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5856f389-3525-42f4-bb00-8149833bd6cc · outbound
This paper cites Discovering regression- detection bi-knowledge transfer for unsupervised cross- domain crowd counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Discovering regression- detection bi-knowledge transfer for unsupervised cross- domain crowd counting
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.683555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 82c96d3d-53ae-4164-9e44-4592383a14f9 · outbound
This paper cites Decoupled Weight Decay Regularization.
Text-promptable Object Counting via Quantity Awareness Enhancement Decoupled Weight Decay Regularization
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:03:14.282618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 73dffed5-95b3-4402-bc39-cff05a59673e · outbound
This paper cites Class-agnostic counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Class-agnostic counting
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.674254Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4cd6cedc-74eb-4cb8-9aad-766edbb94a62 · outbound
This paper cites A large contextual dataset for classification, detection and counting of cars with deep learning.
Text-promptable Object Counting via Quantity Awareness Enhancement A large contextual dataset for classification, detection and counting of cars with deep learning
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.655112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1414730d-c8f4-453f-a839-8267914b28c9 · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
Text-promptable Object Counting via Quantity Awareness Enhancement DINOv2: Learning Robust Visual Features without Supervision
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:03:14.296199Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdf143f4-23a1-417c-a970-e3a7b32ae3f0 · outbound
This paper cites Teaching clip to count to ten.
Text-promptable Object Counting via Quantity Awareness Enhancement Teaching clip to count to ten
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.645611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1a159c29-e07f-4069-9b8f-7ba2bb170997 · outbound
This paper cites Dave-a detect-and-verify paradigm for low-shot counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Dave-a detect-and-verify paradigm for low-shot counting
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.635120Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 14541c31-c6e2-4505-9d8b-50dfe9a3b7e1 · outbound
This paper cites Single domain general- ization for crowd counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Single domain general- ization for crowd counting
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.624862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 68abffb7-6daf-4b1f-aa3f-69862a3c268e · outbound
This paper cites Learning transferable visual models from natural language supervi- sion.
Text-promptable Object Counting via Quantity Awareness Enhancement Learning transferable visual models from natural language supervi- sion
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.615809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 238ae5d4-eea2-433c-9f3e-442db6657d4a · outbound
This paper cites Crowd- diff: Multi-hypothesis crowd density estimation using dif- fusion models.
Text-promptable Object Counting via Quantity Awareness Enhancement Crowd- diff: Multi-hypothesis crowd density estimation using dif- fusion models
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.606770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8132fe31-cf19-41c6-bbd4-c2758220a6e9 · outbound
This paper cites Exemplar free class agnostic counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Exemplar free class agnostic counting
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.598077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ed8ebee9-e039-4a93-93ad-bd858085d368 · outbound
This paper cites Learning to count everything.
Text-promptable Object Counting via Quantity Awareness Enhancement Learning to count everything
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.588993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 61595131-0c72-45d7-a097-d83dda69a760 · outbound
This paper cites Re- visiting perspective information for efficient crowd counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Re- visiting perspective information for efficient crowd counting
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.580574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 41d12455-4aa8-40f0-af7a-33be658ab79f · outbound
This paper cites Represent, compare, and learn: A similarity-aware framework for class-agnostic counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Represent, compare, and learn: A similarity-aware framework for class-agnostic counting
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.571612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cba8e512-6910-4820-b35d-c9ad0ec957a1 · outbound
This paper cites A low-shot object counting network with iterative prototype adaptation.
Text-promptable Object Counting via Quantity Awareness Enhancement A low-shot object counting network with iterative prototype adaptation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.562421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4daf5d26-5653-492e-8dfc-25c2b3b7e2e3 · outbound
This paper cites Exploring contextual at- tribute density in referring expression counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Exploring contextual at- tribute density in referring expression counting
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.551971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 66e7977d-fc36-4c2b-aae4-222b2c8224af · outbound
This paper cites Learning super-features for image re- trieval.
Text-promptable Object Counting via Quantity Awareness Enhancement Learning super-features for image re- trieval
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.541890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 04a5182f-2e08-46c3-9a5d-3738b17520aa · outbound
This paper cites Boosting detection in crowd analysis via underutilized output features.
Text-promptable Object Counting via Quantity Awareness Enhancement Boosting detection in crowd analysis via underutilized output features
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.531135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 0c5d6c1a-8e72-44fa-a2d3-21700f62f76a · outbound
This paper cites Mi- croscopy cell counting and detection with fully convolutional regression networks.
Text-promptable Object Counting via Quantity Awareness Enhancement Mi- croscopy cell counting and detection with fully convolutional regression networks
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.519363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e122f068-60b0-4449-8d4d-23805985a82d · outbound
This paper cites Zero-shot object counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Zero-shot object counting
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.507244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a2bd59cf-c646-4118-933d-9571d387bcaa · outbound
This paper cites Pbe- count: Prompt-before-extract paradigm for class-agnostic counting.
Text-promptable Object Counting via Quantity Awareness Enhancement Pbe- count: Prompt-before-extract paradigm for class-agnostic counting
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.495914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a3f8dec9-8a88-4e03-8526-ac7578b92a9b · outbound
This paper cites Zero-shot object counting with vision-language prior guid- ance network.
Text-promptable Object Counting via Quantity Awareness Enhancement Zero-shot object counting with vision-language prior guid- ance network
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.484629Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8fcfa3dc-27fa-4651-97d0-72bbeb6aa9f1 · outbound
This paper cites Single-image crowd counting via multi-column convolutional neural network.
Text-promptable Object Counting via Quantity Awareness Enhancement Single-image crowd counting via multi-column convolutional neural network
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.473369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 8e5d9146-184f-4464-a116-2c4ecb6df9d2 · outbound
This paper cites Zero-shot object counting with good exemplars.
Text-promptable Object Counting via Quantity Awareness Enhancement Zero-shot object counting with good exemplars
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T19:03:14.461903Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 19773813-f6df-438a-9924-8cd2823bbbdb · outbound
This paper cites an unresolved cited work.
Text-promptable Object Counting via Quantity Awareness Enhancement Unresolved cited work
Reference 684
- Resolution
- parse uncertain
- raw_fallback, observed 2026-08-06T19:03:14.664976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Pith citing papers
No inbound Pith citation observations are available.