Paper Citation Record · LEDGER

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations

As of 23 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2412.06322.

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

pith.paper-citation-record.v1
2412.06322 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:51:43.669537Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

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

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-22T08:47:25.712575Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T08:51:18.523931Z

Reference resolution

65 of 65 outbound references displayed

verified exact0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39497bb6-902b-404c-8fc9-8b2b36052a7d · outbound

This paper cites GPT-4 Technical Report.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 922e3bcb-3b7b-4ba1-9a1e-5a871276ec37 · outbound

This paper cites Llama 3 model card.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Llama 3 model card

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.704174Z

Source-reported events for the cited work

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Observation 3b93f7d4-901e-4ece-b0a1-2ded9a7b569a · outbound

This paper cites Vqa: Visual question answering.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Vqa: Visual question answering

Reference 3

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Observation 69b3aa84-8263-4ba0-8bde-0a8db499ad73 · outbound

This paper cites Adabins: Depth estimation using adaptive bins.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Adabins: Depth estimation using adaptive bins

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.681644Z

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Observation 46e608b6-3100-4d2f-8f7e-f0cf91a01ea8 · outbound

This paper cites Transformerfusion: Monocular rgb scene reconstruction using transformers.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Transformerfusion: Monocular rgb scene reconstruction using transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.667241Z

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Observation c99b669d-4cd7-4f08-ad7b-172a98bb1040 · outbound

This paper cites Language Models are Few-Shot Learners.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Language Models are Few-Shot Learners

Reference 6

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Source-reported events for the cited work

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Observation ab2b56cd-7348-40e8-88b9-1ea909cb40ba · outbound

This paper cites Sift flow: Dense correspondence across different scenes.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Sift flow: Dense correspondence across different scenes

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.653775Z

Source-reported events for the cited work

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Observation 48438ee1-5f7e-4dd8-b156-f1dc65cc05a8 · outbound

This paper cites SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

Reference 8

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Source-reported events for the cited work

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Observation 0fc116a0-cd53-4837-8dca-9d578651ef64 · outbound

This paper cites ShareGPT4V: Improving Large Multi-Modal Models with Better Captions.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations ShareGPT4V: Improving Large Multi-Modal Models with Better Captions

Reference 9

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Source-reported events for the cited work

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Observation 670d3a78-c783-48c4-8554-aedf8d70167b · outbound

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

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Knowledge-embedded routing network for scene graph gen- eration

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.641632Z

Source-reported events for the cited work

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

Observation 650499dc-1685-49f1-845d-2a0110608a6c · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 11

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Source-reported events for the cited work

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Observation c8d9fd59-c5d3-4f34-9177-bf9d8526f891 · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 12

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Source-reported events for the cited work

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Observation 8110f618-5fc2-478b-9e0a-cbfeec625a61 · outbound

This paper cites SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations SpatialRGPT: Grounded Spatial Reasoning in Vision Language Models

Reference 13

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Source-reported events for the cited work

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Observation a36950d6-2f13-41f6-9284-96ccef36a17d · outbound

This paper cites Deep- videomvs: Multi-view stereo on video with recurrent spatio- temporal fusion.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Deep- videomvs: Multi-view stereo on video with recurrent spatio- temporal fusion

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.622180Z

Source-reported events for the cited work

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Observation f2c82a5a-d708-4297-bdfe-78c76707b1fa · outbound

This paper cites Depth map prediction from a single image using a multi-scale deep net- work.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Depth map prediction from a single image using a multi-scale deep net- work

Reference 15

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Source-reported events for the cited work

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Observation e79127c0-45e7-494e-9e5e-90f4e4ca4778 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing

Reference 16

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Source-reported events for the cited work

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Observation 74396314-a112-445e-939d-6c2433987710 · outbound

This paper cites Recov- ering surface layout from an image.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Recov- ering surface layout from an image

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.594946Z

Source-reported events for the cited work

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

Observation fe669a19-ecd7-4604-b2ac-83923e1cdf11 · outbound

This paper cites Language is not all you need: Aligning perception with language mod- els.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Language is not all you need: Aligning perception with language mod- els

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.578612Z

Source-reported events for the cited work

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Observation 7032a545-41f7-45ea-85f4-b89444bfd56f · outbound

This paper cites Vi- sual prompt tuning.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Vi- sual prompt tuning

Reference 19

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Source-reported events for the cited work

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Observation 6f2678cb-59a8-4ca0-86f5-de1f36e3533a · outbound

This paper cites Image retrieval using scene graphs.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Image retrieval using scene graphs

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.551368Z

Source-reported events for the cited work

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

Observation 2143d770-f82e-4d3f-8b4b-55ef52194054 · outbound

This paper cites Poisson surface reconstruction.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Poisson surface reconstruction

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.537140Z

Source-reported events for the cited work

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Observation 9f8d8a15-300d-4ab4-b22b-2917dd973665 · outbound

This paper cites Two algorithms for constructing a delaunay triangulation.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Two algorithms for constructing a delaunay triangulation

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.523178Z

Source-reported events for the cited work

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

Observation 85e8f3ae-b47d-4feb-b8ae-76a2fc8df492 · outbound

This paper cites Depth and surface normal estimation from monocular images using regression on deep features and hi- erarchical crfs.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Depth and surface normal estimation from monocular images using regression on deep features and hi- erarchical crfs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.507374Z

Source-reported events for the cited work

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

Observation 2a7ec07c-d549-41d0-a158-58b9bfeb0ac4 · outbound

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

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.470880Z

Source-reported events for the cited work

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Observation 8d30914f-4e13-40c4-8ecc-5b38f0ae760d · outbound

This paper cites Align before fuse: Vision and language representation learn- ing with momentum distillation.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Align before fuse: Vision and language representation learn- ing with momentum distillation

Reference 25

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Source-reported events for the cited work

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Observation 762cab21-7500-4bd9-b824-b44f7b0e6eb6 · outbound

This paper cites Factorizable net: an efficient subgraph-based framework for scene graph generation.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Factorizable net: an efficient subgraph-based framework for scene graph generation

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.474513Z

Source-reported events for the cited work

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

Observation 27cce3b6-fb70-4c0d-ba24-7b8a2dc85877 · outbound

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

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Scene graph generation from objects, phrases and region captions

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.460319Z

Source-reported events for the cited work

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

Observation 195e6fd4-f7b0-4573-967a-ec81e199c2de · outbound

This paper cites StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data

Reference 28

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Source-reported events for the cited work

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Observation 1ac2b93e-21a5-4eef-9700-f62c2c0c8090 · outbound

This paper cites Binsformer: Revisiting adaptive bins for monocular depth estimation.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Binsformer: Revisiting adaptive bins for monocular depth estimation

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.447512Z

Source-reported events for the cited work

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Observation 184d2689-0012-46ea-bbdf-ba2f9adeaa3c · outbound

This paper cites Microsoft coco: Common objects in context.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Microsoft coco: Common objects in context

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.433886Z

Source-reported events for the cited work

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Observation ef52ed51-0af0-4a9d-b0e9-6271e2fa447e · outbound

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

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Gps-net: Graph property sensing network for scene graph generation

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.419902Z

Source-reported events for the cited work

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Observation 2c555bb6-1d02-41c6-9066-5bbf5502c84f · outbound

This paper cites Visual spa- tial reasoning.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Visual spa- tial reasoning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.404912Z

Source-reported events for the cited work

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Observation d0be3b8e-dca5-4a8b-8c68-24d4a02c009c · outbound

This paper cites Improved baselines with visual instruction tuning.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Improved baselines with visual instruction tuning

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.387245Z

Source-reported events for the cited work

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Observation 5caa1d29-3e0b-48b1-af09-dd80b0c8628f · outbound

This paper cites Visual instruction tuning.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Visual instruction tuning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.371907Z

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Observation 76d7b4f5-95ba-4e8b-9667-7db0c0ec5e21 · outbound

This paper cites Visual relationship detection with language priors.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Visual relationship detection with language priors

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.356274Z

Source-reported events for the cited work

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Observation 770f9547-6fa9-4961-98e3-16b7d98339fb · outbound

This paper cites Ocr-vqa: Visual question answering by reading text in images.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Ocr-vqa: Visual question answering by reading text in images

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.532032Z

Source-reported events for the cited work

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Observation 388776f7-ad93-4878-9ab0-d4563d735b80 · outbound

This paper cites Atlas: End- to-end 3d scene reconstruction from posed images.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Atlas: End- to-end 3d scene reconstruction from posed images

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.330590Z

Source-reported events for the cited work

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Observation b8ea3c9d-09e5-405a-803a-fddc0297c8d6 · outbound

This paper cites Gpt-4o system card, August 2024.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Gpt-4o system card, August 2024

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.316179Z

Source-reported events for the cited work

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Observation fcbfdd98-0f94-4fdf-bfbb-869e7826715a · outbound

This paper cites Kosmos-2: Grounding Multimodal Large Language Models to the World.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.545125Z

Source-reported events for the cited work

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Observation 288bab9d-ed7f-4ea4-9257-110d2d00eda7 · outbound

This paper cites Spatial-temporal knowledge-embedded transformer for video scene graph generation.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Spatial-temporal knowledge-embedded transformer for video scene graph generation

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.300536Z

Source-reported events for the cited work

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Observation a643bf50-030d-4567-9baa-e9d6b10d7062 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Qwen2.5: A party of foundation models, September 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.285145Z

Source-reported events for the cited work

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

Observation 169f72b4-033c-4f9e-8414-54abfebeb68a · outbound

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

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Learning transferable visual models from natural language supervi- sion

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.557283Z

Source-reported events for the cited work

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Observation 0efdc85c-801b-4652-b9e9-409e725b6a86 · outbound

This paper cites Pixelwise view selection for unstructured multi-view stereo.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Pixelwise view selection for unstructured multi-view stereo

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.258940Z

Source-reported events for the cited work

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Observation b106f35c-b582-4689-ab6a-726bde78c5ca · outbound

This paper cites Structured query- based image retrieval using scene graphs.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Structured query- based image retrieval using scene graphs

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.242378Z

Source-reported events for the cited work

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Observation 15eed070-521a-42e8-a319-925a3bdd0ea9 · outbound

This paper cites Nddepth: Normal-distance as- sisted monocular depth estimation.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Nddepth: Normal-distance as- sisted monocular depth estimation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.227858Z

Source-reported events for the cited work

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

Observation 79c5c60c-2864-4287-8fd6-a76207b26152 · outbound

This paper cites Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Conceptual captions: A cleaned, hypernymed, im- age alt-text dataset for automatic image captioning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.214065Z

Source-reported events for the cited work

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

Observation 3e4fcaee-4e80-4299-a842-5c8d743c588c · outbound

This paper cites Towards vqa models that can read.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Towards vqa models that can read

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.198839Z

Source-reported events for the cited work

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

Observation 7cf09185-a045-46bb-9aba-c76e1462d5e0 · outbound

This paper cites Neuralrecon: Real-time coherent 3d re- construction from monocular video.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Neuralrecon: Real-time coherent 3d re- construction from monocular video

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.185172Z

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Observation 86281eb0-a7f4-4e34-aa7a-313b5666903b · outbound

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

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Learning to compose dynamic tree structures for visual contexts

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.167320Z

Source-reported events for the cited work

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

Observation 33f13e65-90fc-43ab-9aad-e1ae3025a9a5 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.598156Z

Source-reported events for the cited work

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Observation a669df6c-77bd-4c71-b69b-ea830c6f785f · outbound

This paper cites The All-Seeing Project V2: Towards General Relation Comprehension of the Open World.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.606576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a83fdb-39d3-41e2-a7e4-6ea556099b3d · outbound

This paper cites The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.611325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b975ad39-7d7f-4869-9957-1c16109e1168 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Chain-of-thought prompting elicits reasoning in large lan- guage models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.616939Z

Source-reported events for the cited work

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Observation 1393d05e-ed00-4506-b704-174f2aeba5de · outbound

This paper cites Scene graph generation by iterative message passing.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Scene graph generation by iterative message passing

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.139873Z

Source-reported events for the cited work

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

Observation 40815618-0aff-4db9-880d-3037723aaa58 · outbound

This paper cites Panoptic scene graph gen- eration.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Panoptic scene graph gen- eration

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.121968Z

Source-reported events for the cited work

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

Observation 432d6546-9082-4975-9dc3-7d4a7950b967 · outbound

This paper cites Graph r-cnn for scene graph generation.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Graph r-cnn for scene graph generation

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.100017Z

Source-reported events for the cited work

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

Observation e289b01d-f49f-4889-8f13-97769b19c86d · outbound

This paper cites Depth anything: Unleashing the power of large-scale unlabeled data.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Depth anything: Unleashing the power of large-scale unlabeled data

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.081519Z

Source-reported events for the cited work

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

Observation 577ea4c0-40ea-49a8-958c-b66a7f600c46 · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.636055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a34d4f19-8543-4087-8c2b-35f8ac3172b9 · outbound

This paper cites Neural motifs: Scene graph parsing with global con- text.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Neural motifs: Scene graph parsing with global con- text

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.063272Z

Source-reported events for the cited work

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

Observation 579ed9c9-d3d0-4fd5-86d3-107fe9b2fdaa · outbound

This paper cites Conceptual and syntactical cross-modal alignment with cross-level consistency for image-text match- ing.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Conceptual and syntactical cross-modal alignment with cross-level consistency for image-text match- ing

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.046260Z

Source-reported events for the cited work

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

Observation ee6f49af-a391-40af-8c86-dab709790b46 · outbound

This paper cites Textpsg: Panoptic scene graph generation from textual descriptions.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Textpsg: Panoptic scene graph generation from textual descriptions

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:44.028125Z

Source-reported events for the cited work

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

Observation 36274a89-045f-44c4-be4d-64fe38596e20 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-11T19:51:43.654766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bc93447-2041-4245-99cd-62e25ffd18a2 · outbound

This paper cites an unresolved cited work.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:51:44.012852Z

Source-reported events for the cited work

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

Observation 012915af-4d29-4a0a-a1e5-4fab99d9bf9e · outbound

This paper cites an unresolved cited work.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-11T19:51:43.996331Z

Source-reported events for the cited work

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

Observation 576fa07c-ae81-4b70-9232-468f177291c2 · outbound

This paper cites house” as an example): object labels(“house.

LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations house” as an example): object labels(“house

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T19:51:43.976253Z

Source-reported events for the cited work

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

Pith citing papers

Observation 12af512c-a7af-4ad2-b8f3-0f9f707a467e · inbound

SceneGraphGrounder: Zero-Shot 3D Visual Grounding via Structured Scene Graph Matching cites this paper.

SceneGraphGrounder: Zero-Shot 3D Visual Grounding via Structured Scene Graph Matching LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:51:18.526818Z

Source-reported events for the cited work

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