Paper Citation Record · LEDGER

Open World Scene Graph Generation using Vision Language Models

As of 21 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 3 inbound Pith citation observations for arXiv:2506.08189.

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

pith.paper-citation-record.v1
2506.08189 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:22:12.194352Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:44:08.297552Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:42:58.205735Z

Reference resolution

48 of 48 outbound references displayed

verified exact1
verified fuzzy29
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c0fc7967-51b6-447b-b055-61b378c7e6ae · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

Open World Scene Graph Generation using Vision Language Models Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.087934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f25714bf-0374-43a8-a38c-dad42bafb371 · outbound

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

Open World Scene Graph Generation using Vision Language Models GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.091525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58085406-ab58-40f7-89c5-380f19210270 · outbound

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

Open World Scene Graph Generation using Vision Language Models Expanding scene graph boundaries: fully open-vocabulary scene graph generation via visual-concept alignment and retention

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.620025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12ae2883-1520-484f-a502-e06b47a57183 · outbound

This paper cites Reltr: Relation transformer for scene graph generation.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 45(9): 11169–11183, 2023.

Open World Scene Graph Generation using Vision Language Models Reltr: Relation transformer for scene graph generation.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, 45(9): 11169–11183, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.612736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 347bb022-99ea-4d76-b760-7e683b7f98cd · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

Open World Scene Graph Generation using Vision Language Models Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.099201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab1b86b8-b2a4-407e-8684-09326248bc2c · outbound

This paper cites Prism-0: A predicate-rich scene graph genera- tion framework for zero-shot open-vocabulary tasks.arXiv preprint arXiv:2504.00844, 2025.

Open World Scene Graph Generation using Vision Language Models Prism-0: A predicate-rich scene graph genera- tion framework for zero-shot open-vocabulary tasks.arXiv preprint arXiv:2504.00844, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.101904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e752d72-4886-4e04-9aa2-c3206c38b5b6 · outbound

This paper cites SimCSE: Simple Contrastive Learning of Sentence Embeddings.

Open World Scene Graph Generation using Vision Language Models SimCSE: Simple Contrastive Learning of Sentence Embeddings

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.104420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4064992-17d0-47ec-9142-2b387f3f5749 · outbound

This paper cites Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

Open World Scene Graph Generation using Vision Language Models Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.107012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d2effcd-34b2-470b-8d48-da7c88326306 · outbound

This paper cites To- wards open-vocabulary scene graph generation with prompt- 7 based finetuning.

Open World Scene Graph Generation using Vision Language Models To- wards open-vocabulary scene graph generation with prompt- 7 based finetuning

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.605387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ebe5fd25-ee12-4f92-81b4-9fd2e32e8673 · outbound

This paper cites Scene Graph Reasoning for Visual Question Answering.

Open World Scene Graph Generation using Vision Language Models Scene Graph Reasoning for Visual Question Answering

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.111648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39fd54ed-26af-4a45-a6aa-a5146ce61db2 · outbound

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

Open World Scene Graph Generation using Vision Language Models Gqa: A new dataset for real-world visual reasoning and compositional question answering

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.114195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4b5ce4d-ae68-41f6-aab5-5e5c72e934fe · outbound

This paper cites Enhancing scene graph generation with hierarchical relationships and commonsense knowledge.

Open World Scene Graph Generation using Vision Language Models Enhancing scene graph generation with hierarchical relationships and commonsense knowledge

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.594374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 552fd6b8-9ebf-4403-a986-1561a10867d6 · outbound

This paper cites Image retrieval using scene graphs.

Open World Scene Graph Generation using Vision Language Models Image retrieval using scene graphs

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.587225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 696ec004-e2bf-40ce-9e50-a1f600cdf44b · outbound

This paper cites Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency.

Open World Scene Graph Generation using Vision Language Models Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:22:12.250576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e21e7d9e-d8eb-4955-8b94-c9698e1a00c8 · outbound

This paper cites Llm4sgg: large language models for weakly supervised scene graph generation.

Open World Scene Graph Generation using Vision Language Models Llm4sgg: large language models for weakly supervised scene graph generation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.579047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c181adb0-57cc-41bd-bad9-4d7bad47c8ea · outbound

This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.International journal of computer vision, 123:32–73, 2017.

Open World Scene Graph Generation using Vision Language Models Visual genome: Connecting language and vision using crowdsourced dense image annotations.International journal of computer vision, 123:32–73, 2017

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.571701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 96942250-333e-4d51-94be-96c8e55e2d9c · outbound

This paper cites an unresolved cited work.

Open World Scene Graph Generation using Vision Language Models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:22:12.563917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 234f1add-b521-4887-b86a-e8b758effe78 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Open World Scene Graph Generation using Vision Language Models Gonzalez, Hao Zhang, and Ion Stoica

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.556567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7060702d-f3f2-47d5-a9cf-5442e3405a86 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation.

Open World Scene Graph Generation using Vision Language Models Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.549301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cc27b857-6ec1-4e1f-82c9-3807eda49d7a · outbound

This paper cites Blip- 2: Bootstrapping language-image pre-training with frozen image encoders and large language models.

Open World Scene Graph Generation using Vision Language Models Blip- 2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.133250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b0f3a94-2ee0-4e36-8300-118e09f4fc59 · outbound

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

Open World Scene Graph Generation using Vision Language Models Sgtr: End-to- end scene graph generation with transformer

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.537311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a643e086-5fad-41cd-8288-23c100320f15 · outbound

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

Open World Scene Graph Generation using Vision Language Models From pixels to graphs: Open-vocabulary scene graph generation with vision-language models

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.530043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d53b965-e8b6-454c-b67f-ab098aab04df · outbound

This paper cites Gps-net: Graph property sensing network for scene graph generation.

Open World Scene Graph Generation using Vision Language Models Gps-net: Graph property sensing network for scene graph generation

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.523285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5deb73b-4c2c-4de7-bd78-7351c852f8e3 · outbound

This paper cites Llava-next: Improved reason- ing, ocr, and world knowledge, 2024.

Open World Scene Graph Generation using Vision Language Models Llava-next: Improved reason- ing, ocr, and world knowledge, 2024

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.141548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7951ae-a5d1-4c26-98c6-f0aad3cb06fa · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36, 2024.

Open World Scene Graph Generation using Vision Language Models Visual instruction tuning.Advances in neural information processing systems, 36, 2024

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.143903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d68dbdc3-7d4b-4cf5-95da-3c6769641e7d · outbound

This paper cites Grounding dino: Marrying dino with grounded pre-training for open-set object detection.

Open World Scene Graph Generation using Vision Language Models Grounding dino: Marrying dino with grounded pre-training for open-set object detection

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.146147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f4b881e-e4f8-4a2b-9b7c-e647a1c58216 · outbound

This paper cites Relation-aware hierarchical prompt for open-vocabulary scene graph generation.

Open World Scene Graph Generation using Vision Language Models Relation-aware hierarchical prompt for open-vocabulary scene graph generation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.505101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6637806e-20e0-4cd8-9a6c-e7ef2fca36c3 · outbound

This paper cites Visual relationship detection with language priors.

Open World Scene Graph Generation using Vision Language Models Visual relationship detection with language priors

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.498561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 988bbf7c-5eca-4d04-8db9-ae985e5cb788 · outbound

This paper cites hello gpt-4.

Open World Scene Graph Generation using Vision Language Models hello gpt-4

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.491902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0eb9fa80-0d12-430a-a583-b5d2f23f67e6 · outbound

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

Open World Scene Graph Generation using Vision Language Models Learning transferable visual models from natural language supervi- sion

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.154832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99885462-b79e-4011-8808-e3941a838617 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Open World Scene Graph Generation using Vision Language Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.156964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 812dc2d4-3b6a-4774-8498-ebbc3dfc3623 · outbound

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

Open World Scene Graph Generation using Vision Language Models Learning to compose dynamic tree structures for visual contexts

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.481150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 503d2f66-2ac8-4fb3-8522-b3c0e83d734c · outbound

This paper cites Unbiased scene graph generation from bi- ased training.

Open World Scene Graph Generation using Vision Language Models Unbiased scene graph generation from bi- ased training

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.473950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 65b3abb5-eb71-4ee9-b3a4-86a26d7bf75b · outbound

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

Open World Scene Graph Generation using Vision Language Models Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.163539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd5f0b44-2676-4109-b62b-4b17ab9b1d5e · outbound

This paper cites Graph-structured representations for visual question answer- ing.

Open World Scene Graph Generation using Vision Language Models Graph-structured representations for visual question answer- ing

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.466765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f63bdcee-c9a4-4717-8cd2-4cd0d6011ecc · outbound

This paper cites Structured sparse r-cnn for direct scene graph generation.

Open World Scene Graph Generation using Vision Language Models Structured sparse r-cnn for direct scene graph generation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.460126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95efe330-ac5c-42a4-88bf-5db75ab49aa4 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Open World Scene Graph Generation using Vision Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.170659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de25351e-2698-4140-9294-4e3b9e37c319 · outbound

This paper cites Scene graph generation by iterative message passing.

Open World Scene Graph Generation using Vision Language Models Scene graph generation by iterative message passing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.453061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61c721cb-7ad3-4e2d-a19c-af7d4c3059f5 · outbound

This paper cites Llava-spacesgg: Visual instruct tuning for open-vocabulary scene graph generation with enhanced spatial relations.

Open World Scene Graph Generation using Vision Language Models Llava-spacesgg: Visual instruct tuning for open-vocabulary scene graph generation with enhanced spatial relations

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.446937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4c8bca80-1123-4596-8c8e-04df8d28fe3a · outbound

This paper cites Panoptic scene graph gen- eration.

Open World Scene Graph Generation using Vision Language Models Panoptic scene graph gen- eration

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.440066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d37b875-eaef-4109-87f9-bdf8b9876244 · outbound

This paper cites Depth anything v2.Advances in Neural Information Processing Systems, 37: 21875–21911, 2024.

Open World Scene Graph Generation using Vision Language Models Depth anything v2.Advances in Neural Information Processing Systems, 37: 21875–21911, 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.433926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8fa9a057-99ad-4258-87da-e326a9954e9a · outbound

This paper cites Cross-modal rela- tionship inference for grounding referring expressions.

Open World Scene Graph Generation using Vision Language Models Cross-modal rela- tionship inference for grounding referring expressions

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.426876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ba671b8e-4c7b-42d5-91d1-bb93b9c4bb5c · outbound

This paper cites Visually-prompted language model for fine- grained scene graph generation in an open world.

Open World Scene Graph Generation using Vision Language Models Visually-prompted language model for fine- grained scene graph generation in an open world

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.418720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d6453c6-b1c5-4294-8718-c055ff3cd14a · outbound

This paper cites Open-vocabulary object detection using captions.

Open World Scene Graph Generation using Vision Language Models Open-vocabulary object detection using captions

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.411258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db98507f-16df-4147-ae74-ecbab09f577c · outbound

This paper cites Neural Motifs: Scene Graph Parsing with Global Context.

Open World Scene Graph Generation using Vision Language Models Neural Motifs: Scene Graph Parsing with Global Context

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:12.187935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0d9e044-a009-4de3-a517-797cc1b16b3a · outbound

This paper cites Graphical contrastive losses for scene graph parsing.

Open World Scene Graph Generation using Vision Language Models Graphical contrastive losses for scene graph parsing

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.403580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eb752ca1-0f56-4403-8f17-e3ca98a7e91e · outbound

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

Open World Scene Graph Generation using Vision Language Models Learning to generate language- supervised and open-vocabulary scene graph using pre-trained visual-semantic space

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.396290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d22aa359-343e-48d7-ad0c-99ab81d9d6c2 · outbound

This paper cites There is aXin the image.

Open World Scene Graph Generation using Vision Language Models There is aXin the image

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:22:12.389239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation 6e2d48bd-84b8-45e0-be97-51eef825d1f8 · inbound

KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering cites this paper.

KG-ViP: Bridging Knowledge Grounding and Visual Perception in Multi-modal LLMs for Visual Question Answering Open World Scene Graph Generation using Vision Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T10:44:08.297552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 773895a4-abe5-4930-ac1f-05077e3c49f5 · inbound

SceneGraphVLM: Dynamic Scene Graph Generation from Video with Vision-Language Models cites this paper.

SceneGraphVLM: Dynamic Scene Graph Generation from Video with Vision-Language Models Open World Scene Graph Generation using Vision Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:42:58.209549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f9aae3f-2b1b-492e-b041-e6c39371b4bf · inbound

GraphVid: Interactive Graph-Controllable Video Generation cites this paper.

GraphVid: Interactive Graph-Controllable Video Generation Open World Scene Graph Generation using Vision Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T07:04:59.338909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.