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Paper Citation Record · LEDGER

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation

As of 9 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 2 inbound Pith citation observations for arXiv:2505.20106.

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

pith.paper-citation-record.v1
2505.20106 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:09.067431Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:30:48.848277Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:07:27.999553Z

Reference resolution

72 of 72 outbound references displayed

  • verified exact0
  • verified fuzzy58
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdee7b1c-498c-4ce6-9dd2-5ae7857f44d3 · outbound

This paper cites Scene graph generation by iterative message passing,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Scene graph generation by iterative message passing,

Reference 1

Resolution
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Source-reported events for the cited work

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Observation bb9489d9-b38b-4f4e-8e75-e4d7fc3213c0 · outbound

This paper cites Neural motifs: Scene graph parsing with global context,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Neural motifs: Scene graph parsing with global context,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2d989bd4-5f20-45b0-a41d-9f653430d3fa · outbound

This paper cites Learning to compose dynamic tree structures for visual contexts,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Learning to compose dynamic tree structures for visual contexts,

Reference 3

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Source-reported events for the cited work

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Observation 7d239a10-0c6d-433e-ad0c-e599fbc3e9ec · outbound

This paper cites Unbiased scene graph generation from biased training,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Unbiased scene graph generation from biased training,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 698bbbe9-b9fb-4ded-8bb2-8a8601772183 · outbound

This paper cites Recovering the unbiased scene graphs from the biased ones,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Recovering the unbiased scene graphs from the biased ones,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e858478d-b1ce-41e6-8749-f696b0d757bb · outbound

This paper cites Bipartite graph network with adaptive message passing for unbiased scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Bipartite graph network with adaptive message passing for unbiased scene graph generation,

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation cf3d4a51-d43c-49d7-8d61-f39be934a8fb · outbound

This paper cites Graphical contrastive losses for scene graph parsing,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Graphical contrastive losses for scene graph parsing,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ba4e570b-ca0d-435a-960b-7f75fc2a087b · outbound

This paper cites Towards open-vocabulary scene graph generation with prompt-based finetuning,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Towards open-vocabulary scene graph generation with prompt-based finetuning,

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f07808aa-fddb-448c-8d7f-0014dec725bb · outbound

This paper cites Learning to generate language-supervised and open-vocabulary scene graph using pre-trained visual-semantic space,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Learning to generate language-supervised and open-vocabulary scene graph using pre-trained visual-semantic space,

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 102d9862-29e8-4f15-a2a4-8264c7c50420 · outbound

This paper cites Auto-encoding scene graphs for image captioning,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Auto-encoding scene graphs for image captioning,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c6b0d64b-7ea3-4113-a605-cfd7f34e8faf · outbound

This paper cites Say as you wish: Fine-grained control of image caption generation with abstract scene graphs,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Say as you wish: Fine-grained control of image caption generation with abstract scene graphs,

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6a7ba961-975e-4d05-8448-e7a2c2b27c9b · outbound

This paper cites Unpaired image captioning via scene graph alignments,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Unpaired image captioning via scene graph alignments,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 46c4d1ae-7e1b-40dd-b271-1061f3b29c61 · outbound

This paper cites On the role of scene graphs in image captioning,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation On the role of scene graphs in image captioning,

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation d6126e6f-d065-4feb-b5c5-1032d596110b · outbound

This paper cites In defense of scene graphs for image captioning,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation In defense of scene graphs for image captioning,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:06:17.067575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 712ef79c-afe3-406b-8a35-bbf77aa6428a · outbound

This paper cites Graph-structured representa- tions for visual question answering,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Graph-structured representa- tions for visual question answering,

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f8bd5f37-424c-4cda-bc51-95710d36ebea · outbound

This paper cites Lightweight visual question answering using scene graphs,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Lightweight visual question answering using scene graphs,

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0c0e1d6e-1ca4-412e-a57f-85b5bfa87696 · outbound

This paper cites Robotvqa - A scene-graph- and deep-learning-based visual question answering system for robot manipulation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Robotvqa - A scene-graph- and deep-learning-based visual question answering system for robot manipulation,

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6861e06a-199b-471a-b2b2-f093bb79c389 · outbound

This paper cites Visual question answering over scene graph,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Visual question answering over scene graph,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 910f75e1-89e1-4fb6-a5b8-9f64030b3953 · outbound

This paper cites Image generation from scene graphs,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Image generation from scene graphs,

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 44f50c3c-ef0f-4bad-a5ed-2cbb13c45c3b · outbound

This paper cites Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training

Reference 21

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a7cb4a77-d9b7-4fb0-9725-bae17d463b84 · outbound

This paper cites Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation

Reference 22

Resolution
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no resolver link, observed 2026-08-07T14:06:03.814090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7d4e668a-00db-4e27-869e-1692add75a64 · outbound

This paper cites SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation SG-Nav: Online 3D Scene Graph Prompting for LLM-based Zero-shot Object Navigation

Reference 23

Resolution
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no resolver link, observed 2026-08-07T14:06:03.978487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bcceb78d-83be-4c1e-b2f9-841f4a6d43fc · outbound

This paper cites Scenegraphloc: Cross-modal coarse visual localization on 3d scene graphs,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Scenegraphloc: Cross-modal coarse visual localization on 3d scene graphs,

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 719b043d-76b2-40c5-9fca-a47039705d96 · outbound

This paper cites Learning to generate scene graph from natural language supervision,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Learning to generate scene graph from natural language supervision,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:06:15.568533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 13574a47-022e-49f5-9acd-662eaf112166 · outbound

This paper cites Integrating object-aware and interaction-aware knowledge for weakly supervised scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Integrating object-aware and interaction-aware knowledge for weakly supervised scene graph generation,

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8f3bcb98-2e3b-4011-a13b-2d42917502c0 · outbound

This paper cites GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:04.444777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 75f732c1-65c1-4422-93cc-875d30e8a8cb · outbound

This paper cites Open-vocabulary object detection using captions,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Open-vocabulary object detection using captions,

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6daa01e2-ff05-4180-a8c1-a59046716e65 · outbound

This paper cites Aligning bag of regions for open-vocabulary object detection,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Aligning bag of regions for open-vocabulary object detection,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:06:14.978269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f4b526ed-a1fb-4ca8-8971-ff943c67c27d · outbound

This paper cites Grounded language-image pre-training,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Grounded language-image pre-training,

Reference 30

Resolution
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raw_fallback, observed 2026-08-07T14:06:14.842015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:04.713894Z digest=sha256:ced313293c44b1c37d61d761f67e277b2beaca21503d37f4a38d38bf46bebf9a

Observation 7c26f606-969e-48a4-9a84-85ae3be47776 · outbound

This paper cites Regionclip: Region-based language- image pretraining,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Regionclip: Region-based language- image pretraining,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation e5a12c88-11f3-40be-bd70-089f3c99d99d · outbound

This paper cites Learning to prompt for open-vocabulary object detection with vision-language model,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Learning to prompt for open-vocabulary object detection with vision-language model,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5f143c4c-2a2f-447e-8384-30f7816d52a5 · outbound

This paper cites Scene graph parser,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Scene graph parser,

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 68bca05c-7128-4e54-a4e4-cf1a1aeb4dc5 · outbound

This paper cites Scene graph generation from objects, phrases and region captions,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Scene graph generation from objects, phrases and region captions,

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:05.098519Z digest=sha256:57acf0237d07d11dd8a48e94c4382e0f0b106924aed81924a7cce46da9835d11

Observation 7c904e98-17d2-45c8-9fa0-158f3aac65a6 · outbound

This paper cites Knowledge-embedded routing network for scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Knowledge-embedded routing network for scene graph generation,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:06:18.419833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:05.176216Z digest=sha256:2b563607f81610c59ae2b5f4f3bb214d7b1a44b528c265674ee8a200bdcf0099

Observation d04a9a2d-7d63-405e-8f4c-2f942e33f315 · outbound

This paper cites Sgtr: End-to-end scene graph generation with transformer,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Sgtr: End-to-end scene graph generation with transformer,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:05.302846Z digest=sha256:7138b120c1367604450f90bc0e26ff8f1ea99ac793bd54a605c4672d2b1b7a60

Observation fe14bb51-9adb-4ce5-bf79-a1f560062aab · outbound

This paper cites Iterative scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Iterative scene graph generation,

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:05.397991Z digest=sha256:f2967dbf122cda0c2f56a84728e82a24b0113d1971fa56bf17bd3e1843106b6d

Observation d437da9e-d945-45b0-af75-5a85e280fe39 · outbound

This paper cites Reltr: Relation transformer for scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Reltr: Relation transformer for scene graph generation,

Reference 38

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raw_fallback, observed 2026-08-07T14:06:13.910622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:05.483722Z digest=sha256:460e8398c11ec901a1bc6e3c376fe95135cf79fd51f628e690024c37b6150847

Observation e935d187-0f34-43c2-aec2-846b981d37be · outbound

This paper cites Unbiased scene graph generation via two-stage causal modeling,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Unbiased scene graph generation via two-stage causal modeling,

Reference 39

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raw_fallback, observed 2026-08-07T14:06:13.780426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:05.570808Z digest=sha256:df2327f8730c0f8a26803591e83572cd1d7c1386e35e6c94d8949d718727e643

Observation 7e92f33b-87f3-45a3-9090-344ff2f68c8e · outbound

This paper cites Fast contextual scene graph generation with unbiased context augmentation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Fast contextual scene graph generation with unbiased context augmentation,

Reference 40

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raw_fallback, observed 2026-08-07T14:06:13.625301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:05.732333Z digest=sha256:71446b0e523b73410e3fa84237fc89903b76e6e7a0e5fde49cb91399acf9a05c

Observation c1a8d885-c195-465f-8adf-40ba9bc32073 · outbound

This paper cites Semantic diversity-aware prototype-based learning for unbiased scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Semantic diversity-aware prototype-based learning for unbiased scene graph generation,

Reference 41

Resolution
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raw_fallback, observed 2026-08-07T14:06:13.494396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:05.861402Z digest=sha256:e7ffadc532d6944a4b8587560a86773954b1e80e08a1fe94558757fb65080223

Observation 4dc38357-9ffa-4291-8bab-ddb47d7f6e35 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Faster r-cnn: Towards real-time object detection with region proposal networks,

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:05.948903Z digest=sha256:3a52ff3f080454a33dc98e795d1ee19d7149ed6b14a8ff15a5c4a2044d140194

Observation 9212e703-b1af-4a6b-bfc1-e00ae40ceed4 · outbound

This paper cites What Makes a Scene ? Scene Graph-based Evaluation and Feedback for Controllable Generation.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation What Makes a Scene ? Scene Graph-based Evaluation and Feedback for Controllable Generation

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:06.096668Z digest=sha256:5216dba9a5146327f3e6d114b0bd9da184defa53ec1ed81b905ff7f0887f6485

Observation daccf754-f33f-47b7-ba14-4939ac8e0264 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Learning transferable visual models from natural language supervi- sion,

Reference 44

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:06.205169Z digest=sha256:c013bf41218ae321aed16cc360b487669e440ec9a365c629fabe0019beb80155

Observation ee357b2c-8fa4-48b8-a7f6-5ea001e9b4ae · outbound

This paper cites Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:06.308339Z digest=sha256:444d0e243df83bb146cc8edfd89ddfa1be8f6885f2e511a053b64f171951cc76

Observation 1ef1ab04-0b6d-42cb-a269-e4804826c615 · outbound

This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:06.382309Z digest=sha256:c0d3c14e9c1c61779a5c56c167140bb7105704ee71538944989aee3b0aaeacd4

Observation df0a26ef-d565-4d4c-96c1-9d6182578379 · outbound

This paper cites Open-vocabulary object detection via vision and language knowledge distillation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Open-vocabulary object detection via vision and language knowledge distillation,

Reference 47

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raw_fallback, observed 2026-08-07T14:06:13.251945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:06.495719Z digest=sha256:c1fc483214aea93a2fc47506676e167cb4483438b13bcbc60b340261ee5301b3

Observation ca382652-816d-4088-acf0-ae1b707b2be6 · outbound

This paper cites Scaling open-vocabulary image segmentation with image-level labels,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Scaling open-vocabulary image segmentation with image-level labels,

Reference 48

Resolution
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raw_fallback, observed 2026-08-07T14:06:13.088490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:06.578336Z digest=sha256:96418ba67f2d3ea08dce5ef17ab8ed2bae4c0c06bf10c358aaf3f3dd22a293e5

Observation ca03ad4d-a30e-4554-a856-6b3bd56dea65 · outbound

This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation ActionCLIP: A New Paradigm for Video Action Recognition

Reference 49

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no resolver link, observed 2026-08-07T14:06:06.655155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:06.655155Z digest=sha256:835e0067a7ea34b64788689bb4c8ecc7ce0df7dc10809ffe2a4732f2dd929e48

Observation b654f10c-9127-4f0b-b57d-e80deea9cac9 · outbound

This paper cites From pixels to graphs: Open-vocabulary scene graph generation with vision-language models,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation From pixels to graphs: Open-vocabulary scene graph generation with vision-language models,

Reference 50

Resolution
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raw_fallback, observed 2026-08-07T14:06:12.911201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:06.769749Z digest=sha256:acdc0979314944fc5dcca3614347687e4a8870410818255f233b0974c2fadf91

Observation 9e5bd9b7-faed-407c-8ef9-4640feb433a9 · outbound

This paper cites Towards open vocabulary learning: A survey,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Towards open vocabulary learning: A survey,

Reference 51

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raw_fallback, observed 2026-08-07T14:06:12.750669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:06.867087Z digest=sha256:217ec0549d17e1045baebcc7768e5ab9aa6ebc2a51a5ed4871339b4fd995a895

Observation b10b6357-aa9f-44c0-b104-27dd91218382 · outbound

This paper cites A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future

Reference 52

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:06.939775Z digest=sha256:fdb67c6bfcc2e23c0b8fc5b706321ff99bae3208f23baece75c8092cfc43226e

Observation 706aa460-dc7a-4c11-b99d-3eef5e3ff097 · outbound

This paper cites LLM4SGG: Large language models for weakly supervised scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation LLM4SGG: Large language models for weakly supervised scene graph generation,

Reference 53

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raw_fallback, observed 2026-08-07T14:06:12.565694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:07.025428Z digest=sha256:748f87656548ba473d4a4ef4ae5a2161d3869d0236f8833bbc5c9cd70fdc147b

Observation cb899a64-2c3e-4981-a4a7-d4f20eb76682 · outbound

This paper cites GPT-4v(ision) System Card,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation GPT-4v(ision) System Card,

Reference 54

Resolution
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raw_fallback, observed 2026-08-07T14:06:12.359205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:07.157365Z digest=sha256:46b37156948cde725c29fe605a48ed5c9fc81671a08097ee9dba67528a595aba

Observation 001b0fa4-b907-4ff9-9875-38fe4e234bd9 · outbound

This paper cites Expanding scene graph boundaries: fully open-vocabulary scene graph generation via visual-concept alignment and retention,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Expanding scene graph boundaries: fully open-vocabulary scene graph generation via visual-concept alignment and retention,

Reference 55

Resolution
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raw_fallback, observed 2026-08-07T14:06:12.102556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:07.233373Z digest=sha256:4d25d3e4e8f825b99dc1e7ed35f9be7fe29976f2b8345a62afba47cde39ceb1c

Observation d40878fe-ea6a-4972-806f-235636f6ba4f · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 56

Resolution
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raw_fallback, observed 2026-08-07T14:06:11.916722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:07.349389Z digest=sha256:42f478617d71184f87553dd0fa6c75bcf34f32d169095ea3576cd12b48cba8fb

Observation 48a191a7-e43a-4b4b-8c9a-fc837c1bc116 · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation BERT: pre-training of deep bidirectional transformers for language understanding,

Reference 57

Resolution
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raw_fallback, observed 2026-08-07T14:06:11.731059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:07.436553Z digest=sha256:7f778fd83b3ffeeb33aaca42315034c8ca4b3cf86e498315c15fdc2f48da0a4c

Observation 542926b9-d50a-43a2-859d-3864ecc202d8 · outbound

This paper cites Deformable DETR: deformable transformers for end-to-end object detection,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Deformable DETR: deformable transformers for end-to-end object detection,

Reference 58

Resolution
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raw_fallback, observed 2026-08-07T14:06:11.532375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:07.557490Z digest=sha256:847abe82d8c938c30d04a918de89fe28d5169de366dcdc6f3b58a8b9def2b903

Observation dc89014e-d49d-4cdb-8723-9b15616533ac · outbound

This paper cites Generalized intersection over union: A metric and a loss for bounding box regression,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Generalized intersection over union: A metric and a loss for bounding box regression,

Reference 59

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raw_fallback, observed 2026-08-07T14:06:11.333322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:07.672161Z digest=sha256:1a3b82e18f431c966d4cfe0923522c919b2f33365907f18d0801f32e40e8724b

Observation 705cdc96-3f30-4e69-becb-f9b99d6bc8ef · outbound

This paper cites Focal loss for dense object detection,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Focal loss for dense object detection,

Reference 60

Resolution
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raw_fallback, observed 2026-08-07T14:06:11.190363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:07.775201Z digest=sha256:19a09516982a51779cb4abcba6a4811f6829acca2dde3e494ddddb022df25d9a

Observation 069e383a-f387-4379-8edc-15c9d4d56a77 · outbound

This paper cites GPT-4 Technical Report.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation GPT-4 Technical Report

Reference 61

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no resolver link, observed 2026-08-07T14:06:07.946971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:07.946971Z digest=sha256:68d26af1341bda5fc3f639acb86b01367b51300d4c240f41d1b35099e5ecd2bf

Observation 5d455cc7-4ad7-4b5a-bb31-c054fd9ef4b3 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:08.035323Z digest=sha256:dbefe504856f37ce9dfd85021e7686abe4bdd3b7d1ba8e671455f64551727ccc

Observation 01046d1e-206e-46af-8ca5-23519cf25bc6 · outbound

This paper cites Gqa: A new dataset for real-world visual reasoning and compositional question answering,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Gqa: A new dataset for real-world visual reasoning and compositional question answering,

Reference 63

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raw_fallback, observed 2026-08-07T14:06:10.982766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:08.143995Z digest=sha256:4279a4e90ed8b1cf7d9d83fc1c2ac2816ef980388d373f87b1d7efe5b12c9128

Observation 1abba453-9b9d-4aaa-81cb-75ed808a26e4 · outbound

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

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Visual genome: Connecting language and vision using crowdsourced dense image annotations,

Reference 64

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raw_fallback, observed 2026-08-07T14:06:10.820631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:08.245435Z digest=sha256:87ca626e23a885ca2e272f18a932c22dc717fc4ee31db306f2e8db9c073c678d

Observation a559b35e-0c62-4143-8680-c82ffe75e257 · outbound

This paper cites Stacked hybrid-attention and group collaborative learning for unbiased scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Stacked hybrid-attention and group collaborative learning for unbiased scene graph generation,

Reference 65

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raw_fallback, observed 2026-08-07T14:06:10.625054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:08.332388Z digest=sha256:9d47cb246275902741b1907a1dac4f93231fc6454665ccdf6194d3488bc60bc1

Observation aa9ed081-3f84-4f1c-adbd-75939cc1d995 · outbound

This paper cites Vision relation transformer for unbiased scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Vision relation transformer for unbiased scene graph generation,

Reference 66

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raw_fallback, observed 2026-08-07T14:06:10.473040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:08.435412Z digest=sha256:3c85f280f4cf4c1b66dbc20fe87ba0849727e0117e5e8cb2efab8345fb3be978

Observation 51c3d11c-4363-4cc2-b94a-0a18b9469057 · outbound

This paper cites Decoupled weight decay regularization,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Decoupled weight decay regularization,

Reference 67

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no resolver link, observed 2026-08-07T14:06:08.532477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:08.532477Z digest=sha256:4dcade2e0881385e15fff65b83c2e5bbeae8a4b7cbd966d1b4a74ddecab13f2c

Observation 18ad3b4f-4909-4273-97cf-ff2589428070 · outbound

This paper cites Linguistic structures as weak supervision for visual scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Linguistic structures as weak supervision for visual scene graph generation,

Reference 68

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raw_fallback, observed 2026-08-07T14:06:10.232457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:08.611359Z digest=sha256:ddd94ba7af8c436bf2e8edcfa1b8d8219948bfdc3323f11d07d86ff04991a0d5

Observation 09da9128-4e40-436e-ab37-ceeb3caffa33 · outbound

This paper cites UNITER: universal image-text representation learning,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation UNITER: universal image-text representation learning,

Reference 69

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raw_fallback, observed 2026-08-07T14:06:10.006059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:08.685373Z digest=sha256:47b5c0fda21515d9901617902405f80144af403c53ca1dbbafc61ca99fa569f8

Observation 86803cdc-bbcb-42d1-a26d-7f036b724630 · outbound

This paper cites Hl-net: Heterophily learning network for scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Hl-net: Heterophily learning network for scene graph generation,

Reference 70

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raw_fallback, observed 2026-08-07T14:06:09.840428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:06:08.795013Z digest=sha256:5febe96bc04e130b5b546c952e18f66b1b4649dbc251b57c84d426c3b490c1d5

Observation b077492e-ffa8-4623-bdff-4eda17086f8c · outbound

This paper cites Fully convolutional scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Fully convolutional scene graph generation,

Reference 71

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raw_fallback, observed 2026-08-07T14:06:09.615403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation c1546d6c-a2e4-4259-bcaa-9eadf4f946b5 · outbound

This paper cites Leveraging predicate and triplet learning for scene graph generation,.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Leveraging predicate and triplet learning for scene graph generation,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:06:09.449308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 69142701-1c91-4690-a311-5b20cac60090 · outbound

This paper cites Visualizing data using t-sne.

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation Visualizing data using t-sne

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-07T14:06:09.067431Z

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Unavailable: canonical work link unavailable.

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Pith citing papers

Observation 6c41ff57-1027-4708-b114-5749d44553c7 · inbound

MORN: Metacognitive Object-Goal Regulation for Resource-Rational Long-Horizon Navigation cites this paper.

MORN: Metacognitive Object-Goal Regulation for Resource-Rational Long-Horizon Navigation From Data to Modeling: Fully Open-vocabulary Scene Graph Generation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:27:49.619298Z

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Observation a4efc673-b638-4916-9f49-21b1e35a1f6d · inbound

PhysScene: A Scene Graph Dataset for Scientific Visual Reasoning in Physics Experiments cites this paper.

PhysScene: A Scene Graph Dataset for Scientific Visual Reasoning in Physics Experiments From Data to Modeling: Fully Open-vocabulary Scene Graph Generation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:07:28.000970Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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