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Paper Citation Record · LEDGER

Query2Label: A Simple Transformer Way to Multi-Label Classification

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2107.10834.

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

pith.paper-citation-record.v1
2107.10834 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:27:07.824947Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.923292Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e5ec0ace-aa07-4932-85e4-68a3909e23f7 · inbound

Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025 cites this paper.

Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025 Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 42

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verified exact
arxiv_id, observed 2026-05-24T08:44:14.331364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T08:39:33.303000Z digest=sha256:86a166636a74c7beb11d0df37690e99e485df786f7a54c81b12348cabc19a493

Observation 6ab46497-5a6f-46ec-847c-27f6c3abdeff · inbound

Multi-Label Contrastive Learning : A Comprehensive Study cites this paper.

Multi-Label Contrastive Learning : A Comprehensive Study Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 1

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no resolver link, observed 2026-08-12T11:04:23.454454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4f8774e3-4995-40cc-87f2-79d374b21249 · inbound

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models cites this paper.

Automated Multi-Label Annotation for Mental Health Illnesses Using Large Language Models Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 36

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unresolved
no resolver link, observed 2026-08-11T22:09:14.171529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4abcefd5-9eec-4516-9afa-9fead085d523 · inbound

Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning cites this paper.

Mixed Blessing: Class-Wise Embedding guided Instance-Dependent Partial Label Learning Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 19

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unresolved
no resolver link, observed 2026-08-11T21:06:12.498527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 88ee5e18-383b-460a-bb91-7898c2a02fc1 · inbound

Multi-label Classification using Deep Multi-order Context-aware Kernel Networks cites this paper.

Multi-label Classification using Deep Multi-order Context-aware Kernel Networks Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 20

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unresolved
no resolver link, observed 2026-08-11T00:22:24.437454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8aad752e-831f-4063-9da3-fd101354c3b5 · inbound

Image Classification with Deep Reinforcement Active Learning cites this paper.

Image Classification with Deep Reinforcement Active Learning Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T23:54:16.117702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 17d475df-23e9-4b69-9ae1-0210cb196eee · inbound

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis cites this paper.

Prompt-CAM: Making Vision Transformers Interpretable for Fine-Grained Analysis Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 20

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unresolved
no resolver link, observed 2026-08-10T20:10:15.946186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:10:15.946186Z digest=sha256:30b60addf67ac1f6fff86c3f729319cbcb803092bea886cba38be104e37d5d5c

Observation 05727005-d5e3-42e8-8735-825d836b0ea3 · inbound

Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition cites this paper.

Multi-Grained Compositional Visual Clue Learning for Image Intent Recognition Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T10:27:07.824947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0fd6c77f-86e5-433f-8c74-4ac0ad394d3e · inbound

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches cites this paper.

PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 20

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unresolved
no resolver link, observed 2026-08-07T12:24:59.536469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 07f288c9-a833-41ef-a7b8-71328a958fa2 · inbound

SenBen: Sensitive Scene Graphs for Explainable Content Moderation cites this paper.

SenBen: Sensitive Scene Graphs for Explainable Content Moderation Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:01:01.796355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-10T16:51:01.201885Z digest=sha256:4a23b356e3d567159f563ea50e02ba03b92013349e8c91b57b86c299ff8c518e

Observation e0f3e354-bd7b-413f-8d81-80cba85a151f · inbound

SenBen: Sensitive Scene Graphs for Explainable Content Moderation cites this paper.

SenBen: Sensitive Scene Graphs for Explainable Content Moderation Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-12T23:42:32.347933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 13987bba-0c91-4a19-a924-f5b33a511816 · inbound

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification cites this paper.

CXR-LT 2026 Challenge: Multi-Center Long-Tailed and Zero Shot Chest X-ray Classification Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:49:56.006028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6fbf1354-83a7-4f34-a1aa-38a875d73718 · inbound

ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest cites this paper.

ELDOR: A Dataset and Benchmark for Illegal Gold Mining in the Amazon Rainforest Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-19T15:37:37.210555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-19T15:35:25.103868Z digest=sha256:8cdcb0c3e8b122b430e183268462a36cbe7221b6c7ba2c5427986906e196dbd1

Observation 7df27a56-dbb2-4f62-9248-8bdf7a221f5f · inbound

Disentangled Fine-Grained Prototype Learning for Incomplete Image-Tabular Classification cites this paper.

Disentangled Fine-Grained Prototype Learning for Incomplete Image-Tabular Classification Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:56:47.150892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T06:34:12.757857Z digest=sha256:7803ea8ba65c877f6dfe3f86c37de4b183de9fef83a1a1e284a594183efbe65c

Observation 5621d392-a312-4f79-b563-9e60f41b5aad · inbound

Multimodal Group Emotion Recognition In-the-Wild Towards a Privacy-Safe Non-Individual Approach cites this paper.

Multimodal Group Emotion Recognition In-the-Wild Towards a Privacy-Safe Non-Individual Approach Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 143

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verified exact
arxiv_id, observed 2026-06-29T13:03:26.051057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T13:01:00.924735Z digest=sha256:b0e0ab3d8083129adb8174ed9c2eb33a729c5f57331847ea693d187c7b1af6f5

Observation 6165b0f2-b858-4202-8a37-f0de94b8fcd8 · inbound

PHOEBI: An Open-World Benchmark for Bacterial Identification in Phase-Contrast Microscopy cites this paper.

PHOEBI: An Open-World Benchmark for Bacterial Identification in Phase-Contrast Microscopy Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:59:45.924854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T09:11:44.238688Z digest=sha256:2692d1fda196a49c4309d79e9f15bfa57c12fd85edc8a3d44fc5e75e46fe7149

Observation 847ddeb8-f7c0-4154-aa92-34fa6ff11d11 · inbound

FISHER: Gradient-Decoupled Hierarchical Multi-Task Learning for Fine-Grained Aquatic Species Recognition cites this paper.

FISHER: Gradient-Decoupled Hierarchical Multi-Task Learning for Fine-Grained Aquatic Species Recognition Query2Label: A Simple Transformer Way to Multi-Label Classification

Reference 44

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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