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Paper Citation Record · LEDGER

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

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:06:54.258728Z

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 46f5ea72-77d0-4ffc-9545-8b901ccb1758 · inbound

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing cites this paper.

HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T20:32:56.137156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:32:56.137156Z digest=sha256:5f539c8989abb338aee65e5b9d1ebfbeefc89a360b59eb39ca684daed969be9a

Observation f3d310e2-68b7-4f66-8373-6729d37973ac · inbound

Taking A Closer Look at Interacting Objects: Interaction-Aware Open Vocabulary Scene Graph Generation cites this paper.

Taking A Closer Look at Interacting Objects: Interaction-Aware Open Vocabulary Scene Graph Generation GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T00:32:30.389732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:32:30.389732Z digest=sha256:9b2c36feef8a4de76c8ce11fc7c94b559e29e0183f730ecd5f86d8a1378ca36b

Observation a7017c79-aec9-4ac3-b996-11a41593a4bf · inbound

Compile Scene Graphs with Reinforcement Learning cites this paper.

Compile Scene Graphs with Reinforcement Learning GPT4SGG: Synthesizing Scene Graphs from Holistic and Region-specific Narratives

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T12:06:54.258728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:06:54.258728Z digest=sha256:43c0cb15f755c0cf6b974607968bd6c291e9ba8d2cae4478d3d567e1341020bc

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.

source=pdf_text observed=2026-08-07T14:06:04.444777Z digest=sha256:3633f40e9fe26aede61ecaa9b15cc5496a152b50f161e5694446ace7bf426c87

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.

source=pdf_text observed=2026-08-07T05:22:12.091525Z digest=sha256:775240f6cc4d04510904369119cff4ab17aa24d3559abab11010c59fd4c15eb5

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.

source=arxiv_source observed=2026-08-03T10:44:08.194802Z digest=sha256:7c876ebbc2470a5db5931c22ef2c3613e1c42046fcffe92280501e587aac0be5

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T15:06:53.377360Z digest=sha256:c68d3cae62c3aab7e666e1d7add2551235a38dbb5f1ce19ec79e0158003ccd9b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-25T20:58:01.925342Z digest=sha256:cc4baef0dec9965ed8d53ad4e7798b8b3b27153e8b5736621cdb528a7f8e7d50

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T23:09:01.340759Z digest=sha256:3601e00938a1460cecda3fdeb6d92324a99e73b18fc8e5be5895712a51586331