Paper Citation Record · LEDGER

GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2312.04314.

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

pith.paper-citation-record.v1
2312.04314 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:06:04.444777Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.276387Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

From Data to Modeling: Fully Open-vocabulary Scene Graph Generation cites this paper.

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.

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

Open World Scene Graph Generation using Vision Language Models cites this paper.

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 843a3268-023a-45ed-a965-3ae66dbb8d0e · 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 GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T10:44:08.194802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ff99f6d-293a-4c22-a466-0507b4f278c6 · inbound

Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning cites this paper.

Differentiable Optimization Layers for Guaranteed Fairness in Deep Learning GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:08:24.775237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 495300f9-1030-4929-9c5c-4729884c6210 · inbound

Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs cites this paper.

Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:50:11.277845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation eecdf65f-69f3-4cd0-a83f-0ec167850628 · inbound

Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs cites this paper.

Graph it first! Enabling Reasoning on Long-form Egocentric Videos through Scene Graphs GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:19:02.839454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.