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Paper Citation Record · LEDGER

Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.06723.

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

pith.paper-citation-record.v1
2407.06723 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:50:43.973960Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:59:19.977154Z

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 8a8e3370-8c8f-4ecf-ad26-162d9a30876b · inbound

DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes cites this paper.

DyGEnc: Encoding a Sequence of Textual Scene Graphs to Reason and Answer Questions in Dynamic Scenes Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T23:50:43.973960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:50:43.973960Z digest=sha256:7276b20767ae0462b79ed2c9acc6279f6ceb70686869c91161fae202cdf2d4ba

Observation e2eb541b-9878-460f-a04d-f1f4216feb70 · inbound

Are Any-to-Any Models More Consistent Across Modality Transfers Than Specialists? cites this paper.

Are Any-to-Any Models More Consistent Across Modality Transfers Than Specialists? Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T12:36:38.541418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:36:38.541418Z digest=sha256:c524f5ad7ef5cb87b2c7bba1c993b979f75865ee252dda3eb5d459b5cf3e33e1

Observation d374d9dd-bcc8-483e-b97a-32676950de1c · inbound

SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning cites this paper.

SC-Captioner: Improving Image Captioning with Self-Correction by Reinforcement Learning Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T22:58:34.844196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:58:34.844196Z digest=sha256:dbea39445313de4ef0072eba6505e192dd0970252291c533c6b4001729dc71f6

Observation 6b1bff89-66cf-45b8-9f7e-33d7d7e8dcc7 · inbound

MobileCLIP2: Improving Multi-Modal Reinforced Training cites this paper.

MobileCLIP2: Improving Multi-Modal Reinforced Training Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions

Reference 2015

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:59:19.984357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T14:59:19.545176Z digest=sha256:b35583b6a06fcf09d44b1f204af8e595521da279bc78cb7b55b9b98733777074