Paper Citation Record · LEDGER

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:1908.07325.

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

pith.paper-citation-record.v1
1908.07325 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:24:29.695503Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

35 of 35 outbound references displayed

verified exact1
verified fuzzy27
unresolved7
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d30f9bac-afde-4dbe-be0d-6e99681b0604 · outbound

This paper cites Knowledge-embedded representation learning for ﬁne-grained image recognition.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Knowledge-embedded representation learning for ﬁne-grained image recognition

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:30.104459Z

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Observation 1937a203-b6ca-46bc-b40e-a01461469110 · outbound

This paper cites Recurrent attentional reinforcement learning for multi-label image recognition.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Recurrent attentional reinforcement learning for multi-label image recognition

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:30.092123Z

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Observation 895fc9bd-1727-4cc0-b307-41ffcd48c424 · outbound

This paper cites Knowledge-embedded routing network for scene graph gen- eration.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Knowledge-embedded routing network for scene graph gen- eration

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:30.079598Z

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Observation 264da6fc-5779-49ad-ae72-e52cbf34bae3 · outbound

This paper cites A concept-based image retrieval system.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition A concept-based image retrieval system

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:30.067310Z

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Observation 8a83bd41-5a99-4541-b30b-740f899dfcbb · outbound

This paper cites Imagenet: A large-scale hierarchical im- age database.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Imagenet: A large-scale hierarchical im- age database

Reference 5

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Observation 372d7780-e866-4169-aa07-183b97476d48 · outbound

This paper cites Subcategory-aware object clas- siﬁcation.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Subcategory-aware object clas- siﬁcation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:30.044044Z

Source-reported events for the cited work

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Observation 110c5161-622e-4b0e-811c-22f9a597f595 · outbound

This paper cites The pascal visual object classes (voc) challenge.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition The pascal visual object classes (voc) challenge

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:30.030918Z

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Observation d5f44c01-da3e-457b-9e64-e96ea06a10cc · outbound

This paper cites Collective multi- label classiﬁcation.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Collective multi- label classiﬁcation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:30.016157Z

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Observation 8db12cab-5855-451e-ad91-bb2c5a40ceb5 · outbound

This paper cites Deep Convolutional Ranking for Multilabel Image Annotation.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Deep Convolutional Ranking for Multilabel Image Annotation

Reference 9

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Observation 479c72d9-8ff6-42f5-9f2b-72224c5d34b6 · outbound

This paper cites Multi-label classiﬁcation using conditional dependency networks.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Multi-label classiﬁcation using conditional dependency networks

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:30.002579Z

Source-reported events for the cited work

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Observation c8af25e5-5581-43ba-8fcc-655927723e64 · outbound

This paper cites Deep residual learning for image recognition.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Deep residual learning for image recognition

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.990272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3fec9254-dc34-4a77-81d7-46f0c0cecece · outbound

This paper cites Reinforced multi-label image classiﬁcation by explor- ing curriculum.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Reinforced multi-label image classiﬁcation by explor- ing curriculum

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.977088Z

Source-reported events for the cited work

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Observation 9aac5547-8d19-4c3b-8e9b-6311c30cfc7a · outbound

This paper cites Long short-term memory.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Long short-term memory

Reference 13

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Source-reported events for the cited work

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Observation 085651f2-4b0f-4d2e-a54d-0015fe26d417 · outbound

This paper cites Hadamard Product for Low-rank Bilinear Pooling.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Hadamard Product for Low-rank Bilinear Pooling

Reference 14

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Observation da7c1539-253e-47b2-a298-3d29f5c7c59b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Adam: A Method for Stochastic Optimization

Reference 15

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Observation c95e81f7-00a4-4f51-aac3-ff6dcb963cc3 · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Visual genome: Connecting language and vision using crowdsourced dense image annotations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.958288Z

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Observation 75c4c14e-4037-4c77-88b2-bfa556e79337 · outbound

This paper cites Improving pairwise ranking for multi-label image classiﬁcation.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Improving pairwise ranking for multi-label image classiﬁcation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.948220Z

Source-reported events for the cited work

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Observation e9dd2446-fd8f-4bd1-9c99-419277006975 · outbound

This paper cites Gated Graph Sequence Neural Networks.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Gated Graph Sequence Neural Networks

Reference 18

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Source-reported events for the cited work

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Observation e3b67021-0bc6-4108-a459-5243d0a3ef9c · outbound

This paper cites Microsoft coco: Common objects in context.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Microsoft coco: Common objects in context

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.938167Z

Source-reported events for the cited work

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Observation e270dad8-87a4-4b11-be6c-6a13bb683631 · outbound

This paper cites Multi-label image classi- ﬁcation via knowledge distillation from weakly-supervised detection.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Multi-label image classi- ﬁcation via knowledge distillation from weakly-supervised detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.927447Z

Source-reported events for the cited work

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Observation 45469b16-6963-442a-8845-95f0d2f8454f · outbound

This paper cites Glove: Global vectors for word representation.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Glove: Global vectors for word representation

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.917057Z

Source-reported events for the cited work

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Observation f8ca9495-25e5-45ee-bd62-711cd3696c92 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T12:24:29.648199Z

Source-reported events for the cited work

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Observation 428581db-bf7f-4da6-b83f-c0b06709df85 · outbound

This paper cites Selective search for ob- ject recognition.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Selective search for ob- ject recognition

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.905835Z

Source-reported events for the cited work

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Observation 7af2c9d7-188e-463f-bd90-fd284ed8e523 · outbound

This paper cites CNN-RNN: A Unified Framework for Multi-label Image Classification.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition CNN-RNN: A Unified Framework for Multi-label Image Classification

Reference 24

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Observation 0163a06b-2d36-4985-ba28-ff6d161b2d3e · outbound

This paper cites Beyond object proposals: Random crop pool- ing for multi-label image recognition.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Beyond object proposals: Random crop pool- ing for multi-label image recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.894066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 06779d79-8c99-4528-a598-e6967d83bb15 · outbound

This paper cites Multi-label image recognition by recurrently dis- covering attentional regions.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Multi-label image recognition by recurrently dis- covering attentional regions

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.883971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 543b2eb2-e224-4b52-81e2-d2e7b7ce0a94 · outbound

This paper cites Deep reasoning with knowledge graph for social relationship understanding.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Deep reasoning with knowledge graph for social relationship understanding

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.873566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 304e82f3-ff8d-4b88-8d9a-4925e8063182 · outbound

This paper cites Hcp: A ﬂexible cnn framework for multi-label image classiﬁcation.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Hcp: A ﬂexible cnn framework for multi-label image classiﬁcation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.863078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 739ea9a1-603a-42aa-9023-e081f541c11c · outbound

This paper cites Correlative multi-label multi-instance im- age annotation.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Correlative multi-label multi-instance im- age annotation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.852197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 947bf1a6-723f-4bc1-a3c5-8847b1bf2a45 · outbound

This paper cites Exploit bounding box annota- tions for multi-label object recognition.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Exploit bounding box annota- tions for multi-label object recognition

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.841063Z

Source-reported events for the cited work

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Observation 779e7c89-8712-4376-adff-1a1a3d883270 · outbound

This paper cites Pinterest board recommendation for twitter users.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Pinterest board recommendation for twitter users

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.830377Z

Source-reported events for the cited work

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Observation c789be71-1ff5-4a41-aaa8-84f23a58c87c · outbound

This paper cites Multi-Label Image Classification with Regional Latent Semantic Dependencies.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Multi-Label Image Classification with Regional Latent Semantic Dependencies

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:24:29.730813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ea8c999-4615-4737-a7f0-31893be67c02 · outbound

This paper cites Multi-label image classiﬁcation with regional latent semantic dependencies.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Multi-label image classiﬁcation with regional latent semantic dependencies

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.818978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dcf859d2-e569-46ff-bb45-8a2ac5518f9b · outbound

This paper cites Learning spatial regularization with image- level supervisions for multi-label image classiﬁcation.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Learning spatial regularization with image- level supervisions for multi-label image classiﬁcation

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.808230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d71b085-db09-4e06-ae82-1c6908297a55 · outbound

This paper cites Lawrence Zitnick and Piotr Doll ´ar.

Learning Semantic-Specific Graph Representation for Multi-Label Image Recognition Lawrence Zitnick and Piotr Doll ´ar

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:24:29.797761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.