Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-08T06:26:22.635106Z
Paper Citation Record · LEDGER
HoloCount: A Holistic Visual Counting Benchmark for MLLMs
As of 5 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2607.06420.
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 2026-08-05T06:32:48.257954+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
66 of 66 outbound references displayed
- verified exact11
- verified fuzzy49
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8fa20bac-0b71-426b-b896-1e8f5f92e73f · outbound
This paper cites an unresolved cited work.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Unresolved cited work
Reference 1
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T06:34:42.200933Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3c52c85b-1fcf-4ce0-b29f-85770cdd68bd · outbound
This paper cites Tallyqa: Answering complex counting questions.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Tallyqa: Answering complex counting questions
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.171856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7093ef10-290c-4fcd-bd35-d21a6248befc · outbound
This paper cites GPT-4 Technical Report.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs GPT-4 Technical Report
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T06:34:41.880243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation fe0d20ed-a563-4002-8ddb-612ffeb13b12 · outbound
This paper cites Qwen3-VL Technical Report.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Qwen3-VL Technical Report
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T06:34:41.882983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 573445af-a9a9-46a4-b35d-61bfcd7df46f · outbound
This paper cites Qwen2.5-vl technical report.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Qwen2.5-vl technical report
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.174508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 74f227b6-1edc-4763-bda5-00cd4c721aaa · outbound
This paper cites Mvi-bench: A comprehensive benchmark for evaluating robustness to misleading visual inputs in lvlms, 2026.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Mvi-bench: A comprehensive benchmark for evaluating robustness to misleading visual inputs in lvlms, 2026
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.190137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e3eb160e-dfb0-466f-b1fb-6f49ae2a6598 · outbound
This paper cites Spatialrgpt: Grounded spatial reasoning in vision-language models.Advances in Neural Information Processing Systems, 37:135062–135093.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Spatialrgpt: Grounded spatial reasoning in vision-language models.Advances in Neural Information Processing Systems, 37:135062–135093
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.209679Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c3ac939f-8031-459f-b345-ca5e6fbc6a0a · outbound
This paper cites Molmo and pixmo: Open weights and open data for state-of-the-art vision-language models.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Molmo and pixmo: Open weights and open data for state-of-the-art vision-language models
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.176761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c7194e0d-b2f2-411a-ab6a-9a793175dc8f · outbound
This paper cites Deep learning in crowd counting: A survey.CAAI Trans.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Deep learning in crowd counting: A survey.CAAI Trans
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.188325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8a35f6cb-9d5c-4445-ad9b-bdd6df7302cf · outbound
This paper cites Lvis: A dataset for large vocabulary instance segmentation, 2019.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Lvis: A dataset for large vocabulary instance segmentation, 2019
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.216854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 78b101d5-c2b2-4347-a72c-e9e2a32579b1 · outbound
This paper cites Drone-based object counting by spatially regularized regional proposal network.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Drone-based object counting by spatially regularized regional proposal network
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.139408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1c872b51-70d2-485c-b0c6-d467533888ee · outbound
This paper cites Step3-vl-10b technical report.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Step3-vl-10b technical report
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T06:34:41.896789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0b09cf54-657a-400d-a718-30bde30571e0 · outbound
This paper cites Kevin Zhou, and Jie Chen.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Kevin Zhou, and Jie Chen
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.153440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 466ae958-844f-43cb-a6c5-314154b8f41c · outbound
This paper cites Composition loss for counting, density map estimation and localization in dense crowds.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Composition loss for counting, density map estimation and localization in dense crowds
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.160732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6837b810-8840-41d2-a92e-409616fb465e · outbound
This paper cites Vlind-bench: Measuring language priors in large vision-language models, 2025.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Vlind-bench: Measuring language priors in large vision-language models, 2025
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.211591Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f6f310ef-3507-4f03-8290-93a4db717507 · outbound
This paper cites T-rex2: Towards generic object detection via text-visual prompt synergy.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs T-rex2: Towards generic object detection via text-visual prompt synergy
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.150162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7cbc1146-1468-4b2d-a8ef-b10c237ba46a · outbound
This paper cites Learning To Count Objects in Images.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Learning To Count Objects in Images
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.151787Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e7eba03a-ac7d-45ee-96b0-e56fa0a6c174 · outbound
This paper cites Count anything at any granularity, 2026.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Count anything at any granularity, 2026
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.141084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dae70fd7-dc3e-46aa-821b-fa3fed50292d · outbound
This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.186451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 233bae5b-c348-4feb-a794-fb7cddbb3933 · outbound
This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Grounding dino: Marrying dino with grounded pre-training for open-set object detection
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.199299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation caf89b32-4c5d-4d2d-9719-d061ea016406 · outbound
This paper cites Moment-video: Diagnosing temporal fidelity of video mllms on momentary visual events, 2026.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Moment-video: Diagnosing temporal fidelity of video mllms on momentary visual events, 2026
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.225095Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 36507d60-7705-4c6e-9919-134ea512fb61 · outbound
This paper cites Understanding language prior of lvlms by contrasting chain-of-embedding.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Understanding language prior of lvlms by contrasting chain-of-embedding
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-07-08T06:34:41.893614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d467d462-447c-413c-9559-182cf21d9a00 · outbound
This paper cites Av-reasoner: Improving and benchmarking clue-grounded audio-visual counting for mllms, 2025.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Av-reasoner: Improving and benchmarking clue-grounded audio-visual counting for mllms, 2025
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.228640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 18af80ff-2a2e-4746-a0e7-675cec26e711 · outbound
This paper cites Deep learning for site safety: Real-time detection of personal protective equipment.Automation in construction, 112:103085, 2020.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Deep learning for site safety: Real-time detection of personal protective equipment.Automation in construction, 112:103085, 2020
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.162580Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c2da1919-3cb4-4059-a686-d3284442eb59 · outbound
This paper cites Can current ai models count what we mean, not what they see? a benchmark and systematic evaluation, 2025.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Can current ai models count what we mean, not what they see? a benchmark and systematic evaluation, 2025
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.242504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 66862931-59dc-4f3f-af9a-1508713330d6 · outbound
This paper cites Few-shot object counting and detection.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Few-shot object counting and detection
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.191929Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f26bcc51-7380-4b48-95f5-768c486d6d9c · outbound
This paper cites Small object detection: A comprehensive survey on challenges, techniques and real-world applications.Intelligent Systems with Applications, 27:200561, 2025.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Small object detection: A comprehensive survey on challenges, techniques and real-world applications.Intelligent Systems with Applications, 27:200561, 2025
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.182436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9a40c73c-47cb-45a1-9730-f9894d3eb39a · outbound
This paper cites Enhancing object detection in smart video surveillance: A survey of occlusion-handling approaches.Electronics, 13(3):541, 2024.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Enhancing object detection in smart video surveillance: A survey of occlusion-handling approaches.Electronics, 13(3):541, 2024
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.184386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1418cada-3320-4054-859b-49fb5c539ba2 · outbound
This paper cites Teaching clip to count to ten.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Teaching clip to count to ten
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.178442Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c87cfc39-513b-4266-a1af-181aecdf5bbb · outbound
This paper cites Learning transferable visual models from natural language supervision.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Learning transferable visual models from natural language supervision
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.221935Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 7b4ea410-ee1a-496f-9116-07761c27aa32 · outbound
This paper cites Learning To Count Everything.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Learning To Count Everything
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.202485Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation cae60345-00c3-4350-99db-b3d579ec1270 · outbound
This paper cites Unicbench: Unified counting benchmark for mllm, 2026.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Unicbench: Unified counting benchmark for mllm, 2026
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.230494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a7aefbf4-4814-410b-adf7-2fcee5b476f2 · outbound
This paper cites Objects365: A large-scale, high-quality dataset for object detection.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Objects365: A large-scale, high-quality dataset for object detection
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.207815Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 01fabb1f-1e45-4555-ab99-15f15bdb27fb · outbound
This paper cites Sindagi, Rajeev Yasarla, and Vishal M.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Sindagi, Rajeev Yasarla, and Vishal M
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.156951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f912a87b-ae2b-4581-8309-6827469cea24 · outbound
This paper cites CountQA: How Well Do MLLMs Count in the Wild?.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs CountQA: How Well Do MLLMs Count in the Wild?
Reference 35
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T06:34:41.868005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8bf2499a-ad47-4b40-973d-d456fee6fd22 · outbound
This paper cites Gemma 3 technical report.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Gemma 3 technical report
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.236287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6dfe38b7-84a0-4a0f-829a-0099d51d9fe8 · outbound
This paper cites Internvl3.5: Advancing open-source multimodal models in versatility, reasoning, and efficiency, 2025.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Internvl3.5: Advancing open-source multimodal models in versatility, reasoning, and efficiency, 2025
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.145101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f61a077e-ddf0-4d6b-9848-1975cefcd23e · outbound
This paper cites Kimi k2.5: Visual agentic intelligence, 2026.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Kimi k2.5: Visual agentic intelligence, 2026
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.146869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 458b0402-adb1-444c-a96d-81b82ccd0ae2 · outbound
This paper cites Kimi-VL Technical Report.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Kimi-VL Technical Report
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T06:34:41.885798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8b83f04a-2d77-4d8d-af95-6ebbfa54e923 · outbound
This paper cites Kwai Keye-VL Technical Report.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Kwai Keye-VL Technical Report
Reference 40
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T06:34:41.888370Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 75541853-4255-4bf7-95d7-405b8788a66c · outbound
This paper cites Qwen3.5: Accelerating productivity with native multimodal agents, February 2026.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Qwen3.5: Accelerating productivity with native multimodal agents, February 2026
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.142838Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f31a907b-c8fa-46a3-aa29-254af5aebbf9 · outbound
This paper cites Ec-bench: Enumeration and counting benchmark for ultra-long videos, 2026.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Ec-bench: Enumeration and counting benchmark for ultra-long videos, 2026
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.148528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 075437c2-f84b-473d-819e-a0484ae9d51a · outbound
This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
Reference 43
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T06:34:41.874709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation dc8ae552-ea18-44d1-8f44-4fabd8993d39 · outbound
This paper cites Nwpu-crowd: A large-scale benchmark for crowd counting and localization.IEEE transactions on pattern analysis and machine intelligence, 43(6):2141–2149, 2020.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Nwpu-crowd: A large-scale benchmark for crowd counting and localization.IEEE transactions on pattern analysis and machine intelligence, 43(6):2141–2149, 2020
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.158893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8425ba86-f031-4470-8501-9dcc4ea379d4 · outbound
This paper cites A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics.Sustainability, 12(9):3760, 2020.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs A review of further directions for artificial intelligence, machine learning, and deep learning in smart logistics.Sustainability, 12(9):3760, 2020
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.155278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 267946e7-2244-4386-af0e-61c9cdf05333 · outbound
This paper cites LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs LanP: Rethinking the Impact of Language Priors in Large Vision-Language Models
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T06:34:41.890924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8fd680ac-2c19-40d2-8fd0-bad23a8f4131 · outbound
This paper cites Towards visual grounding: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Towards visual grounding: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.165990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 29b1bf95-3b77-4317-8d77-26e1b167cfd1 · outbound
This paper cites Learning to separate: Detecting heavily-occluded objects in urban scenes.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Learning to separate: Detecting heavily-occluded objects in urban scenes
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.164259Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a4e7ff36-f46b-416f-83f0-af35208bbcd0 · outbound
This paper cites Sigmoid loss for language image pre-training.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Sigmoid loss for language image pre-training
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.215145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e15d527c-0d53-40ef-b40a-425b65b4e0d6 · outbound
This paper cites Learning to Count Objects in Natural Images for Visual Question Answering.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Learning to Count Objects in Natural Images for Visual Question Answering
Reference 50
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T06:34:41.877542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6e681a5e-ef46-4fb5-9fc7-4830a6746dcd · outbound
This paper cites MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T06:34:41.871618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 60afddaa-394c-4ac4-bcdf-a43422e90922 · outbound
This paper cites yellow flower.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs yellow flower
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.238218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a526615c-dbd6-483b-9e27-bc2296c2ef58 · outbound
This paper cites an unresolved cited work.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T06:34:42.239956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 04b8284d-1b56-40d0-aa3b-36b88f433aa8 · outbound
This paper cites chair” not “chairs.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs chair” not “chairs
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.234263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation c9290edc-9415-4536-ab81-b322323aebd2 · outbound
This paper cites yellow flower.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs yellow flower
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.220068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a85a7d0e-428e-4196-9e5d-895b3408bf3e · outbound
This paper cites How many more X than Y?.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs How many more X than Y?
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.195671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6bfa925e-67df-489f-80fa-3d1abbffbeb7 · outbound
This paper cites an unresolved cited work.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Unresolved cited work
Reference 57
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T06:34:42.193811Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation ae872968-47a7-41a5-b06d-c662d7d1ea0e · outbound
This paper cites an unresolved cited work.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T06:34:42.218479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 0cafec5c-5e18-4c91-b8ac-b0bf6a23c58f · outbound
This paper cites How many red cars?.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs How many red cars?
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.223448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 4dec28e6-9815-4681-a9fc-0c7b7742078f · outbound
This paper cites Count must be correct for this image.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Count must be correct for this image
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.226827Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation daefa469-b1b3-4732-b57f-3aace3ca7558 · outbound
This paper cites How many more red cars than blue cars?.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs How many more red cars than blue cars?
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.180436Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 6ede9905-df85-4177-91d8-6cde54ad26cb · outbound
This paper cites How many objects are both red and large?.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs How many objects are both red and large?
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.232279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation e2df6c94-52dc-450b-8d38-70609acd745a · outbound
This paper cites No external knowledge.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs No external knowledge
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.213386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation f732a756-1c42-4156-aa9c-0d0f49b0056b · outbound
This paper cites an unresolved cited work.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Unresolved cited work
Reference 64
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T06:34:42.197537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation b65e5e84-50a7-4112-a5b1-550b863bdb3d · outbound
This paper cites an unresolved cited work.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs Unresolved cited work
Reference 65
- Resolution
- unresolved
- raw_fallback, observed 2026-07-08T06:34:42.204100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bc4ce3ee-3fd9-4f6d-b503-48e094e146a5 · outbound
This paper cites How many objects satisfy condition A but not condition B, and are larger than the average size of category C?.
HoloCount: A Holistic Visual Counting Benchmark for MLLMs How many objects satisfy condition A but not condition B, and are larger than the average size of category C?
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-08T06:34:42.206055Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Pith citing papers
No inbound Pith citation observations are available.