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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:01.746840Z digest=sha256:e0a4d89944ac111f2944a912fe603996571e8662072a323db53527bfc8ce7d4e

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:02.447077Z digest=sha256:69056a7926f94caa4ba77df2eebe4ffcf72eaead4e6eeeebafddb4fe67c4b909

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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:02.744274Z digest=sha256:91c1bbc96b4b7c38c5b1a0361c0611f2597283e9d662e77d78aee0f25c2e9381

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:03.474269Z digest=sha256:6dd5c7ae661a5aef2a693011e7ebb7ac0a38dc8b6756cc1643385ba3cc374dab

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:03.814090Z digest=sha256:700dff7f064055dc9840c8238b102d555f31c3627d50aed17ab08052d6383057

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:06:03.978487Z digest=sha256:fee76400f1506ba1c0de73a3353932087ec441048f21c776698c610768891cf4

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
raw_fallback, observed 2026-08-07T14:06:15.875772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:04.264776Z digest=sha256:8c468e4af0087d7fa28edbf339c5b742d6414e3dc125cd84c80be59de2d1f7c4

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
raw_fallback, observed 2026-08-07T14:06:15.328480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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.

source=pdf_text observed=2026-08-07T14:06:04.444777Z digest=sha256:c5e1ca2585958bf4c2c849e1fce1ef6b42ee2e43d9d645c30cf408a9d06eeb74

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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:04.713894Z digest=sha256:e3b3351a652fd165e8ec5b3430cedc8b4cf1efb72a8b8bd0781a9efda632e035

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
raw_fallback, observed 2026-08-07T14:06:14.708747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:04.778671Z digest=sha256:bb293ef49487b175068881e2c4715586712b19443ebc3c7030611178eec76e33

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
raw_fallback, observed 2026-08-07T14:06:14.563025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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
raw_fallback, observed 2026-08-07T14:06:14.419755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:04.975100Z digest=sha256:c6887667869d979e07c5e0fee577f92afa497094694a164773b32b360f19af1b

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
raw_fallback, observed 2026-08-07T14:06:14.276576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:05.098519Z digest=sha256:017db64d897a80e27afb1d3b94d077d5bd68293b5e4047bf5afdfdbf116326b3

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:05.176216Z digest=sha256:515857c88f41c1a5e9768319d63e6d2ed09c55816c72b6cad1da302fb528ea70

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:05.302846Z digest=sha256:7a6b4371d1465fd6a7d7089a2f398b0f81f6abace801f11ade5b90c03b1afe29

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:05.397991Z digest=sha256:237f70e0cda00bba2ec8941ad78f2fdeb174ac947644fa1556e567221400d64f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:05.483722Z digest=sha256:ddb806d1d0a57bb056b229b39659e24a22c5159d6d49734551c394804bb8dc68

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:05.570808Z digest=sha256:51075b255d982eb5e80f445f10ad43327994490a25ac890caac6e61da4ac50c1

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:05.732333Z digest=sha256:d69b61f4c01d1b52a0e6ed63a72bdd6d4069e8489f441ef116967662527b5366

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

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:05.861402Z digest=sha256:8c12a24a4b1e7dae578a210f44fa3814cec440a36411b372216a7f2ef0dec5c4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:06.205169Z digest=sha256:37bc63dfe71bc0e447b5498cc8fd23b230198f9f8ab9fe0db0a07fb19decf42e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:06.495719Z digest=sha256:a01b7c613dab077fdc55c268a4e3cf505cb1433b0a8e02a1b59662756bfe93ee

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

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:06.578336Z digest=sha256:2cde7b806d60cbbde2aa9aaa1ae0652728ebfca026c0dc2782be63c24d949034

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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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

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:06.769749Z digest=sha256:e1f4cd43f6454366e3600d417f324ae8ed127706bd95b9d638a734d2a6e2c501

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:06.867087Z digest=sha256:321259056129af8a36155ef51355f0d768b4e612523ea577499233a5e9dc3693

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:07.025428Z digest=sha256:f23ca089241270c72ecc7189320daeb4fcae5efaa0d327eb53b85fe16c7597d4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:07.157365Z digest=sha256:3997ff44b0ac9af25702d783e63f4edd2e421a33bd47ad0e4415efb256f318c2

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

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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:07.233373Z digest=sha256:2b8604b505a7b8f1a3196112fa40055482469819e9bb2c40c4d5e68524680a14

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:07.349389Z digest=sha256:1d892aa708dec934fccb17af62e9d14655ae237405ee2b7956d3e721382d7b74

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:07.436553Z digest=sha256:866d301925eedfea1195c220723f7323a479faec8aa4544ce059e0400f405f81

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:07.557490Z digest=sha256:d8e32a5a8895e568d3597dda48f4746a041d3feda81c884296a886b456a73f70

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:07.672161Z digest=sha256:a288f691af3a47a1ca1f79a3db73b59054a01b79216d1c8645352cc6e59a98e9

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:07.775201Z digest=sha256:f083ab443ebaf064f4c077602e71f3763e943fe5a3e997696111350e3117ffd7

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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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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:08.143995Z digest=sha256:d033e3497383869e1a2586e89a091a81b7177f2e1176a0e03d376b4cbc92ce56

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:08.245435Z digest=sha256:05590d31b8b4c7d4253fe0a81569aae9c2ad75344eadee19ef4a2ce225abd71c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:08.332388Z digest=sha256:aa623ce0e15e705006fc647d0a325f3a8bcb0121ccd1be8a2ccddcdf0ee0e7e6

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:08.435412Z digest=sha256:e4b723afbcee4a7a821c0c6982b1426623855992d933b6552f8e2bfe75b98a88

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:08.611359Z digest=sha256:69686fc1b2cad30f6ba369e8df50b5328cc84a67cdbd100a4f0f3c1952150e10

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:08.685373Z digest=sha256:0418e496d00e86c4004af4703c9d0d0151e32e5b9e49ba05816232d744e2fdeb

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T14:06:08.795013Z digest=sha256:9c06b320a81557c51fcbf926673b65a79aa517790cb6895c63fe76cbe3f34bc7

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 2026-08-11T06:34:44.6726+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

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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

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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 2026-08-11T06:34:44.6726+00:00.

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